{"@context":"https://schema.org","@type":"ItemList","name":"Senior Data Engineer Jobs - Find Senior Data Engineer Job Openings","description":"Explore the latest Senior Data Engineer job openings. Apply now to kickstart a rewarding career as a Senior Data Engineer. Find top companies hiring for Senior Data Engineer positions.","itemListElement":[{"@type":"ListItem","position":1,"item":{"@type":"JobPosting","title":"Senior Data Engineer, Python","datePosted":"2025-08-10","description":"Senior Data Engineer, Python

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Senior Data Engineers, who are passionate about marrying data with emerging technologies. As a Capital One, Senior Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Python, Java, Scala, and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

Bachelor’s Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies

Preferred Qualifications:

5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,600 - $181,000 for Senior Data Engineer

Plano, TX: $144,200 - $164,600 for Senior Data Engineer

Richmond, VA: $144,200 - $164,600 for Senior Data Engineer

Wilmington, DE: $144,200 - $164,600 for Senior Data Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

","hiringOrganization":{"@type":"Organization","name":"Capital One","sameAs":"https://www.capitalonecareers.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean, VA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Python, AWS)","datePosted":"2025-08-04","description":"

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
\n
\nBy combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
\n
\nFrom prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

Responsibilities:

Work together with data engineers, scientists and analysts to understand the needs for data and create effective data pipelines
Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
Create and maintain data solutions mostly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, Big Query etc.) and rarely on-premise (Sql Server, Oracle, Postgresql)
Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.

Qualifications

Proficient in Python and SQL

Strong experience with Relational and ideally NoSQL databases.
Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
Strong understanding of ETL/ELT processes.
Exposure to data monitoring and observability tools.
Relevant experience with Event-Driven Architecture
Good understanding of Agile ways of working

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cluj-Napoca, CJ, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Python, AWS)","datePosted":"2025-08-04","description":"

Company Description

Job Description

Responsibilities:

Work together with data engineers, scientists and analysts to understand the needs for data and create effective data pipelines
Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
Create and maintain data solutions mostly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, Big Query etc.) and rarely on-premise (Sql Server, Oracle, Postgresql)
Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.

Qualifications

Proficient in Python and SQL

Strong experience with Relational and ideally NoSQL databases.
Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
Strong understanding of ETL/ELT processes.
Exposure to data monitoring and observability tools.
Relevant experience with Event-Driven Architecture
Good understanding of Agile ways of working

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Iași, IS, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Python, AWS)","datePosted":"2025-08-04","description":"

Company Description

Job Description

Responsibilities:

Work together with data engineers, scientists and analysts to understand the needs for data and create effective data pipelines
Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
Create and maintain data solutions mostly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, Big Query etc.) and rarely on-premise (Sql Server, Oracle, Postgresql)
Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.

Qualifications

Proficient in Python and SQL

Strong experience with Relational and ideally NoSQL databases.
Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
Strong understanding of ETL/ELT processes.
Exposure to data monitoring and observability tools.
Relevant experience with Event-Driven Architecture
Good understanding of Agile ways of working

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest, Bucharest, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Python & Databricks","datePosted":"2025-08-05","description":"

Company Description

Job Description

As a Senior Data Engineer specialising in Python and Databricks, you will design, build, and optimise data pipeline solutions on Azure Databricks and related cloud platforms. Working closely with data scientists, analysts, and engineers, you will ensure our data infrastructure supports advanced analytics and business insights across industries (including energy, resources, and mining). You will join a collaborative, agile team where continuous improvement, innovation, and knowledge sharing are part of the culture.

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective pipeline solutions.
Design, develop, and maintain robust ETL/ELT pipelines on Azure using Databricks (Spark) along with services like Azure Data Factory and Synapse, to ingest, process, and transform large datasets.
Implement data validation, cleansing, and governance procedures to guarantee data quality, integrity, and security. This includes enforcing data standards and addressing data quality issues proactively.
Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines. Identify opportunities to enhance performance, reliability, and cost-efficiency across our data systems.
Monitor data pipeline performance and promptly troubleshoot any issues or failures to ensure high data availability and consistency. Leverage observability tools and best practices to maintain reliable pipelines.
Develop streaming or event-driven data processes as needed for real-time analytics, leveraging frameworks like Apache Kafka and Spark Structured Streaming.
Maintain clear documentation of data pipelines, data models, and processes for transparency and team knowledge sharing. Follow best practices in coding, testing, and version control to ensure maintainable and auditable workflows.

Qualifications

Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and in SQL for data querying and transformation.
Solid understanding of data warehousing concepts and dimensional data modeling (e.g. star schema, Kimball methodology).
Hands-on experience with relational database systems and SQL (e.g. SQL Server, PostgreSQL) and familiarity with NoSQL databases (e.g. MongoDB, Cassandra) for varied data storage needs.
Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
Proven experience working with cloud data platforms, especially Microsoft Azure.
Expertise in Azure Databricks and the Spark ecosystem for large-scale data processing is required (experience with Delta Lake, Azure Data Lake Storage, Azure Data Factory/Synapse is highly valued).
Familiarity with data pipeline orchestration and automation tools (e.g. Azure Data Factory, Apache Airflow, or Azure Functions) and with CI/CD pipelines for deploying data workflows.
Experience monitoring data pipeline performance and using observability tools to ensure data reliability is a plus.
Exposure to event-driven architectures and streaming data tools (such as Apache Kafka or Spark Streaming) is beneficial for handling real-time data flows.
Experience working in Agile teams with iterative development, and a collaborative approach to problem-solving.
Holding a current Databricks certification (e.g. Databricks Certified Data Engineer) is a strong advantage.
Background in or understanding of data from the energy, resources, or mining industry is a plus, as it will help in delivering business-focused insights in these sectors.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Additional Local Benefits

Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
Novated Leasing: Pre-tax car leasing benefit for new and used cars.
Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Perth, WA, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Python & Databricks","datePosted":"2025-08-05","description":"

Company Description

Job Description

As a Senior Data Engineer specialising in Python and Databricks, you will design, build, and optimise data pipeline solutions on Azure Databricks and related cloud platforms. Working closely with data scientists, analysts, and engineers, you will ensure our data infrastructure supports advanced analytics and business insights across industries (including energy, resources, and mining). You will join a collaborative, agile team where continuous improvement, innovation, and knowledge sharing are part of the culture.

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective pipeline solutions.
Design, develop, and maintain robust ETL/ELT pipelines on Azure using Databricks (Spark) along with services like Azure Data Factory and Synapse, to ingest, process, and transform large datasets.
Implement data validation, cleansing, and governance procedures to guarantee data quality, integrity, and security. This includes enforcing data standards and addressing data quality issues proactively.
Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines. Identify opportunities to enhance performance, reliability, and cost-efficiency across our data systems.
Monitor data pipeline performance and promptly troubleshoot any issues or failures to ensure high data availability and consistency. Leverage observability tools and best practices to maintain reliable pipelines.
Develop streaming or event-driven data processes as needed for real-time analytics, leveraging frameworks like Apache Kafka and Spark Structured Streaming.
Maintain clear documentation of data pipelines, data models, and processes for transparency and team knowledge sharing. Follow best practices in coding, testing, and version control to ensure maintainable and auditable workflows.

Qualifications

Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and in SQL for data querying and transformation.
Solid understanding of data warehousing concepts and dimensional data modeling (e.g. star schema, Kimball methodology).
Hands-on experience with relational database systems and SQL (e.g. SQL Server, PostgreSQL) and familiarity with NoSQL databases (e.g. MongoDB, Cassandra) for varied data storage needs.
Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
Proven experience working with cloud data platforms, especially Microsoft Azure.
Expertise in Azure Databricks and the Spark ecosystem for large-scale data processing is required (experience with Delta Lake, Azure Data Lake Storage, Azure Data Factory/Synapse is highly valued).
Familiarity with data pipeline orchestration and automation tools (e.g. Azure Data Factory, Apache Airflow, or Azure Functions) and with CI/CD pipelines for deploying data workflows.
Experience monitoring data pipeline performance and using observability tools to ensure data reliability is a plus.
Exposure to event-driven architectures and streaming data tools (such as Apache Kafka or Spark Streaming) is beneficial for handling real-time data flows.
Experience working in Agile teams with iterative development, and a collaborative approach to problem-solving.
Holding a current Databricks certification (e.g. Databricks Certified Data Engineer) is a strong advantage.
Background in or understanding of data from the energy, resources, or mining industry is a plus, as it will help in delivering business-focused insights in these sectors.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Additional Local Benefits

Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
Novated Leasing: Pre-tax car leasing benefit for new and used cars.
Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, QLD, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Python & Databricks","datePosted":"2025-08-07","description":"

Company Description

Job Description

As a Senior Data Engineer specialising in Python and Databricks, you will design, build, and optimise data pipeline solutions on Databricks and related cloud platforms. Working closely with data scientists, analysts, and engineers, you will ensure our data infrastructure supports advanced analytics and business insights across industries (including energy, resources, and mining). You will join a collaborative, agile team where continuous improvement, innovation, and knowledge sharing are part of the culture.

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective pipeline solutions.
Design, develop, and maintain robust ETL/ELT pipelines on using Databricks (Spark) along with AWS / Azure / GCP, to ingest, process, and transform large datasets.
Implement data validation, cleansing, and governance procedures to guarantee data quality, integrity, and security. This includes enforcing data standards and addressing data quality issues proactively.
Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines. Identify opportunities to enhance performance, reliability, and cost-efficiency across our data systems.
Monitor data pipeline performance and promptly troubleshoot any issues or failures to ensure high data availability and consistency. Leverage observability tools and best practices to maintain reliable pipelines.
Develop streaming or event-driven data processes as needed for real-time analytics, leveraging frameworks like Apache Kafka and Spark Structured Streaming.
Maintain clear documentation of data pipelines, data models, and processes for transparency and team knowledge sharing. Follow best practices in coding, testing, and version control to ensure maintainable and auditable workflows.

Qualifications

Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and in SQL for data querying and transformation.
Solid understanding of data warehousing concepts and dimensional data modeling (e.g. star schema, Kimball methodology).
Hands-on experience with relational database systems and SQL (e.g. SQL Server, PostgreSQL) and familiarity with NoSQL databases (e.g. MongoDB, Cassandra) for varied data storage needs.
Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
Proven experience working with multiple cloud data platforms such as AWS / Azure / GCP.
Expertise in Databricks and the Spark ecosystem for large-scale data processing is required.
Familiarity with data pipeline orchestration and automation tools and with CI/CD pipelines for deploying data workflows.
Experience monitoring data pipeline performance and using observability tools to ensure data reliability is a plus.
Exposure to event-driven architectures and streaming data tools (such as Apache Kafka or Spark Streaming) is beneficial for handling real-time data flows.
Experience working in Agile teams with iterative development, and a collaborative approach to problem-solving.
Holding a current Databricks certification (e.g. Databricks Certified Data Engineer) is a strong advantage.
Background in or understanding of data from the energy, resources, or mining industry is a plus, as it will help in delivering business-focused insights in these sectors.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Additional Local Benefits

Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
Novated Leasing: Pre-tax car leasing benefit for new and used cars.
Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Perth, WA, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Python & Databricks","datePosted":"2025-08-07","description":"

Company Description

Job Description

As a Senior Data Engineer specialising in Python and Databricks, you will design, build, and optimise data pipeline solutions on Databricks and related cloud platforms. Working closely with data scientists, analysts, and engineers, you will ensure our data infrastructure supports advanced analytics and business insights across industries (including energy, resources, and mining). You will join a collaborative, agile team where continuous improvement, innovation, and knowledge sharing are part of the culture.

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective pipeline solutions.
Design, develop, and maintain robust ETL/ELT pipelines on using Databricks (Spark) along with AWS / Azure / GCP, to ingest, process, and transform large datasets.
Implement data validation, cleansing, and governance procedures to guarantee data quality, integrity, and security. This includes enforcing data standards and addressing data quality issues proactively.
Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines. Identify opportunities to enhance performance, reliability, and cost-efficiency across our data systems.
Monitor data pipeline performance and promptly troubleshoot any issues or failures to ensure high data availability and consistency. Leverage observability tools and best practices to maintain reliable pipelines.
Develop streaming or event-driven data processes as needed for real-time analytics, leveraging frameworks like Apache Kafka and Spark Structured Streaming.
Maintain clear documentation of data pipelines, data models, and processes for transparency and team knowledge sharing. Follow best practices in coding, testing, and version control to ensure maintainable and auditable workflows.

Qualifications

Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and in SQL for data querying and transformation.
Solid understanding of data warehousing concepts and dimensional data modeling (e.g. star schema, Kimball methodology).
Hands-on experience with relational database systems and SQL (e.g. SQL Server, PostgreSQL) and familiarity with NoSQL databases (e.g. MongoDB, Cassandra) for varied data storage needs.
Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
Proven experience working with multiple cloud data platforms such as AWS / Azure / GCP.
Expertise in Databricks and the Spark ecosystem for large-scale data processing is required.
Familiarity with data pipeline orchestration and automation tools and with CI/CD pipelines for deploying data workflows.
Experience monitoring data pipeline performance and using observability tools to ensure data reliability is a plus.
Exposure to event-driven architectures and streaming data tools (such as Apache Kafka or Spark Streaming) is beneficial for handling real-time data flows.
Experience working in Agile teams with iterative development, and a collaborative approach to problem-solving.
Holding a current Databricks certification (e.g. Databricks Certified Data Engineer) is a strong advantage.
Background in or understanding of data from the energy, resources, or mining industry is a plus, as it will help in delivering business-focused insights in these sectors.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Additional Local Benefits

Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
Novated Leasing: Pre-tax car leasing benefit for new and used cars.
Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, QLD, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Senior Data Engineer - Python & Databricks","datePosted":"2025-08-07","description":"

Company Description

Job Description

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective pipeline solutions.
Design, develop, and maintain robust ETL/ELT pipelines on using Databricks (Spark) along with AWS / Azure / GCP, to ingest, process, and transform large datasets.
Implement data validation, cleansing, and governance procedures to guarantee data quality, integrity, and security. This includes enforcing data standards and addressing data quality issues proactively.
Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines. Identify opportunities to enhance performance, reliability, and cost-efficiency across our data systems.
Monitor data pipeline performance and promptly troubleshoot any issues or failures to ensure high data availability and consistency. Leverage observability tools and best practices to maintain reliable pipelines.
Develop streaming or event-driven data processes as needed for real-time analytics, leveraging frameworks like Apache Kafka and Spark Structured Streaming.
Maintain clear documentation of data pipelines, data models, and processes for transparency and team knowledge sharing. Follow best practices in coding, testing, and version control to ensure maintainable and auditable workflows.

Qualifications

Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and in SQL for data querying and transformation.
Solid understanding of data warehousing concepts and dimensional data modeling (e.g. star schema, Kimball methodology).
Hands-on experience with relational database systems and SQL (e.g. SQL Server, PostgreSQL) and familiarity with NoSQL databases (e.g. MongoDB, Cassandra) for varied data storage needs.
Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
Proven experience working with multiple cloud data platforms such as AWS / Azure / GCP.
Expertise in Databricks and the Spark ecosystem for large-scale data processing is required.
Familiarity with data pipeline orchestration and automation tools and with CI/CD pipelines for deploying data workflows.
Experience monitoring data pipeline performance and using observability tools to ensure data reliability is a plus.
Exposure to event-driven architectures and streaming data tools (such as Apache Kafka or Spark Streaming) is beneficial for handling real-time data flows.
Experience working in Agile teams with iterative development, and a collaborative approach to problem-solving.
Holding a current Databricks certification (e.g. Databricks Certified Data Engineer) is a strong advantage.
Background in or understanding of data from the energy, resources, or mining industry is a plus, as it will help in delivering business-focused insights in these sectors.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Additional Local Benefits

Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
Novated Leasing: Pre-tax car leasing benefit for new and used cars.
Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

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Company Description

Job Description

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective pipeline solutions.
Design, develop, and maintain robust ETL/ELT pipelines on using Databricks (Spark) along with AWS / Azure / GCP, to ingest, process, and transform large datasets.
Implement data validation, cleansing, and governance procedures to guarantee data quality, integrity, and security. This includes enforcing data standards and addressing data quality issues proactively.
Continuously improve the scalability, efficiency, and cost-effectiveness of data pipelines. Identify opportunities to enhance performance, reliability, and cost-efficiency across our data systems.
Monitor data pipeline performance and promptly troubleshoot any issues or failures to ensure high data availability and consistency. Leverage observability tools and best practices to maintain reliable pipelines.
Develop streaming or event-driven data processes as needed for real-time analytics, leveraging frameworks like Apache Kafka and Spark Structured Streaming.
Maintain clear documentation of data pipelines, data models, and processes for transparency and team knowledge sharing. Follow best practices in coding, testing, and version control to ensure maintainable and auditable workflows.

Qualifications

Proficiency in Python for data engineering (including PySpark and libraries like pandas/Polars) and in SQL for data querying and transformation.
Solid understanding of data warehousing concepts and dimensional data modeling (e.g. star schema, Kimball methodology).
Hands-on experience with relational database systems and SQL (e.g. SQL Server, PostgreSQL) and familiarity with NoSQL databases (e.g. MongoDB, Cassandra) for varied data storage needs.
Strong experience designing and implementing ETL/ELT processes and integrating data from multiple sources.
Proven experience working with multiple cloud data platforms such as AWS / Azure / GCP.
Expertise in Databricks and the Spark ecosystem for large-scale data processing is required.
Familiarity with data pipeline orchestration and automation tools and with CI/CD pipelines for deploying data workflows.
Experience monitoring data pipeline performance and using observability tools to ensure data reliability is a plus.
Exposure to event-driven architectures and streaming data tools (such as Apache Kafka or Spark Streaming) is beneficial for handling real-time data flows.
Experience working in Agile teams with iterative development, and a collaborative approach to problem-solving.
Holding a current Databricks certification (e.g. Databricks Certified Data Engineer) is a strong advantage.
Background in or understanding of data from the energy, resources, or mining industry is a plus, as it will help in delivering business-focused insights in these sectors.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Additional Local Benefits

Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
Novated Leasing: Pre-tax car leasing benefit for new and used cars.
Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne, VIC, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Senior Data Engineer I (Python/ GIS)","datePosted":"2025-08-04","description":"

Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 93 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a \"work from anywhere\" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!

Overview:

As a Senior Data Engineer I, this role combines expertise in demography with strong programming skills to create tools that help organizations understand population trends, social dynamics, and economic factors. The ideal candidate will work closely with data scientists, statisticians, and policy analysts to design, develop, and maintain applications that process large datasets, generate reports, and visualize demographic patterns. Responsibilities include coding, testing, and deploying software modules, integrating demographic models, and ensuring data accuracy and security.

What you will do:

Develop and maintain software applications for data analysis
Collaborate with data scientists and software engineers to integrate demographic models
Design data processing pipelines to handle large and complex datasets
Create visualizations and reports to communicate demographic insights
Ensure data accuracy, security, and compliance with privacy regulations
Test and debug software to maintain high-quality standards
Stay updated with data research and technological trends
Optimize software performance and scalability
Document code and development processes clearly
Provide technical support and training to end-users
Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria. Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed.
Collaborate with other team members, also work with cross-functional teams according to requirements. Peer review of code practice needs to be followed.
Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable.
Be agile and embrace change.

What we are looking for:

Atleast 5 years of industry experience in the areas of Data Engineering/ Python/ Geographic Information System (GIS)
Bachelor’s Degree in Engineering/ Geospatial / Geography/ Computer Science/ Statistics
Proficiency in programming languages such as Python
Experience with database management and data querying (SQL)
Strong understanding of Location Intelligence or GIS concepts and population data
Familiarity with data visualization tools and libraries (e.g., Tableau)
Experience in Cloud technologies like AWS, azure etc.
Excellent knowledge of database concepts and complex query writing
Excellent knowledge in Query Optimization for better performance
Exposure to Geo-spatial domain and how geospatial data is stored in database is preferred
Ability to communicate with various stakeholders at all levels of the organization.
Excellent verbal and written communication skills
Excellent interpersonal skills and active listener
Able to set and meet time-sensitive goals
Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams

#LI-KM1 #LI-Remote

The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Global Applicant and Candidate Privacy Notice.

","hiringOrganization":{"@type":"Organization","name":"Precisely","sameAs":"https://www.precisely.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Python, Airflow, AWS)","datePosted":"2025-08-08","description":"

Company Description

Job Description

We are looking for a Senior Data Engineer to join our team and work on taking our data engineering to the next level.

As a Senior Data Engineer, you will be responsible for designing, developing and maintaining our pipelines to ingest and process data; working alongside BI and Data analysts. You will actively participate in the development of our data platform and assist the team in creating new data pipelines, ensuring the highest quality of data delivered.

The impact you will have

Work on data extraction architectures and infrastructure for data sourcing
Find ways to merge newly discovered data with existing data
Identify possibilities to automate the processes where possible
Create and maintain optimal data pipeline architectures
Assemble complex data sets that meet the functional requirements
Work with cross-functional teams to assist with related technical issues
Ensure the safety and integrity of our data across geographic boundaries
Actively participate in planning, stand-ups, and retrospective meetings

Qualifications

What we look for

At least 5 years of experience working in data engineering domain
Good knowledge of data ETL and processing techniques
Proficient in working with relational databases (such as PostgreSQL, MySQL etc) and understanding of relational storage concepts, with the ability to write and optimize SQL queries.

Experience with Python and Apache Airflow
Experience working with some services in data ecosystem of Amazon Web Service
Organised and structured working process
Able to agree to and deliver to realistic deadlines

Excellent interpersonal and relational skills

Strong agile mindset, able to iterate fast and give early feedback

Desire and eagerness to contribute to the success of the company and grow along with it
Excellent communication skills in verbal and written English

Bonus points for

Experience building with Docker and orchestrating with Kubernetes
Experience working with SSAS and SSIS with SQL Server
Experience working with streaming technologies

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kraków, Lesser Poland Voivodeship, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Python, Airflow, AWS)","datePosted":"2025-08-08","description":"

Company Description

Job Description

We are looking for a Senior Data Engineer to join our team and work on taking our data engineering to the next level.

The impact you will have

Work on data extraction architectures and infrastructure for data sourcing
Find ways to merge newly discovered data with existing data
Identify possibilities to automate the processes where possible
Create and maintain optimal data pipeline architectures
Assemble complex data sets that meet the functional requirements
Work with cross-functional teams to assist with related technical issues
Ensure the safety and integrity of our data across geographic boundaries
Actively participate in planning, stand-ups, and retrospective meetings

Qualifications

What we look for

At least 5 years of experience working in data engineering domain
Good knowledge of data ETL and processing techniques
Proficient in working with relational databases (such as PostgreSQL, MySQL etc) and understanding of relational storage concepts, with the ability to write and optimize SQL queries.

Experience with Python and Apache Airflow
Experience working with some services in data ecosystem of Amazon Web Service
Organised and structured working process
Able to agree to and deliver to realistic deadlines

Excellent interpersonal and relational skills

Strong agile mindset, able to iterate fast and give early feedback

Desire and eagerness to contribute to the success of the company and grow along with it
Excellent communication skills in verbal and written English

Bonus points for

Experience building with Docker and orchestrating with Kubernetes
Experience working with SSAS and SSIS with SQL Server
Experience working with streaming technologies

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
Health: Global internal wellbeing programme, access to wellbeing apps;
Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

","hiringOrganization":{"@type":"Organization","name":"Endava","sameAs":"https://www.endava.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warsaw, Masovian Voivodeship, Poland","addressCountry":"Poland","addressRegion":"Europe"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"Senior Data Engineer (SQL, C#, Python)","datePosted":"2025-08-12","description":"

Calling All Upstarters!

SENIOR DATA ENGINEER WANTED!

We are Upstart 13. We are humble, hungry, and competent people who are radically changing the expectations and experience of outsourcing for all participants by challenging barriers that create inequality and by bringing down borders in technology for people everywhere. We’re all about delivering value and doing big things. We have become a game-changer for teams around the world who look to Upstart’s services as a differentiator.

Job Description:

We are looking for a seasoned Data Engineer located in Latin America to support an Azure initiative powering scalable analytics and AI with Microsoft Fabric. This position focuses on building pipelines using C#, SQL, and Python, integrating long-tail and legacy data sources into governed lakehouse layers.

In this role, you'll automate and optimize ingestion and transformation workflows, ensuring that the data platform scales reliably and feeds clean, curated layers into Fabric’s semantic models. You’ll work alongside the Staff Engineer to lead hands-on development, enforce engineering best practices, and accelerate the onboarding of new data sources—all while building the foundation for downstream AI initiatives.

Responsibilities:

Data Ingestion:

Develop C# Azure Functions, Data Factory custom activities, and Kusto scripts to pull data from heterogeneous sources.
Optimize batch sizes, parallelism, and retry logic for immediate scale.

Transformation & Loading:

Author T-SQL, Spark SQL, and Python notebooks to convert raw (Bronze) data to cleansed (Silver) and curated (Gold) layers.
Implement incremental & CDC (Change Data Capture) patterns using Delta/Parquet.

Source Expansion:

Rapidly onboard new “long-tail” feeds (Files, REST APIs, partner DBs), abstracting connection logic into reusable modules.

Quality & Observability:

Embed data-quality checks, unit tests, and log/metric collection (App Insights, Log Analytics).

DevOps & CI/CD:

Contribute to Git pipelines (GitHub Actions/Azure DevOps) that lint, test, and deploy ingestion artifacts via IaC.

Collaboration:

Pair with Staff Engineer on technical designs; provide code reviews and mentoring to mid-level engineers.

Qualifications

Experience:

6+ years of experience building production ETL/ELT pipelines.
Proficient in C#/.NET (async/await, dependency injection).
Proficient in Data Ingestion and Transformation Design Patterns.
Experience in Data Validation/Quality.
Strong SQL experience(T-SQL + Kusto Query Language).
Experience with Azure Data Factory, Synapse, or Microsoft Fabric.
Hands-on with Python for data workflows (Pandas or PySpark).
Experience optimizing throughput (partitioning, compression, retries).
Familiar with CI/CD and IaC in Azure environments.

Soft skills:

Execution-First Mindset: Delivers working pipelines quickly, then iterates.
Curious Integrator: Enjoys untangling messy, niche data feeds.
Quality Advocate: Insists on tests, logging, and clear hand-offs.
Collaborative Communicator: Explains code decisions to peers and stakeholders.
Continuous Learner: Keeps abreast of Azure & Fabric feature releases.

Bonus skills:

CDC tooling or streaming (Event Hubs) experience.
PowerShell or Bash scripting for ad-hoc data movement.
Knowledge of Fabric DirectLake performance tuning.
Exposure to Data Quality frameworks (e.g., Great Expectations).

Why Upstart13?

We put people first at Upstart 13! We believe the world is filled with amazing people and we are willing to go to great lengths to seek out others who share our values to join our cause of bringing down borders in technology for people everywhere.
We develop leaders at Upstart 13, we focus on what matters to do meaningful work, we own our shit, we stay curious, and we understand responsibility leads to giving. We do big things together!

Perks:

Job type: project-based, full-time job.
Fully remote.
USD competitive salary.

Are you ready to join our cause? Be sure to ask, “Why 13?”

","hiringOrganization":{"@type":"Organization","name":"Upstart 13","sameAs":"https://upstart13.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fully Remote"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"Senior Data Engineer (Python, Scala, AWS Cloud)","datePosted":"2025-08-12","description":"Senior Data Engineer (Python, Scala, AWS Cloud)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

Bachelor’s Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies

Preferred Qualifications:

5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices

McLean, VA: $158,600 - $181,000 for Senior Data Engineer

Richmond, VA: $144,200 - $164,600 for Senior Data Engineer

This role is expected to accept applications for a minimum of 5 business days.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

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Location: Anywhere in LATAM
\nJob Type: Contractor (Full-Time, Remote)
\nProject: Healthcare Data Integration
\nTime Zone: GMT-3
\nEnglish Level: B2 or above

Get to Know Us

At Darwoft, we build software that drives real change. But were more than just tech were people first. We believe in building human-centered digital experiences and having fun while we do it. Our team is curious, passionate, and always growing. Based in LATAM, we've been partnering with US-based clients to deliver scalable digital solutions with purpose and quality.

Were now expanding our data engineering capabilities to support one of the leading healthtech platforms in the US.

We're Looking For a Senior Data Engineer

As a Senior Data Engineer, you'll join a collaborative team focused on building robust, scalable, and secure data ingestion pipelines that connect healthcare systems with analytic platforms. You'll work across new and legacy architectures to automate data flows and deliver clean, high-value datasets that support business insights and patient care.

What You'll Be Doing

\n
Design and build ingestion pipelines for healthcare claim and clinical data using modern data engineering tools
\n
\n
Perform unit testing, debugging, and peer reviews to ensure code quality and performance
\n
\n
Collaborate with engineering and product teams to optimize data architecture and integration processes
\n
\n
Contribute to Agile ceremonies (sprint planning, grooming, demos) and update progress in Jira
\n
\n
Troubleshoot and improve legacy data connectors while developing new scalable solutions
\n
\n
Support data quality validation and deliver clear documentation for internal teams
\n
\n
Participate in cross-functional sessions to improve development processes and delivery speed
\n

What You Bring

Technical Requirements

\n
5+ years of experience in data engineering roles
\n
\n
Strong SQL skills and experience with relational database design
\n
\n
Hands-on experience with Spark (preferably Scala)
\n
\n
Working knowledge of NoSQL databases and cloud environments (AWS preferred)
\n
\n
Experience with data ingestion tools and frameworks (e.g., Kafka, NiFi, etc.)
\n
\n
Familiarity with Python and Java for data processing
\n
\n
Bonus: Experience with healthcare datasets and analytics
\n

Soft Skills

\n
Strong analytical thinking and structured problem-solving skills
\n
\n
Clear communication and ability to collaborate across teams
\n
\n
Ownership mindset and ability to manage multiple priorities
\n
\n
Interest in understanding the business value behind the data
\n

Perks & Benefits

\n
Contractor agreement with payment in USD
\n
\n
100% remote work
\n
\n
Argentinian public holidays
\n
\n
English classes
\n
\n
Referral program
\n
\n
Access to learning platforms

","hiringOrganization":{"@type":"Organization","name":"Darwoft","sameAs":"https://www.darwoft.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Córdoba, Córdoba Province, Argentina","addressCountry":"Argentina","addressRegion":"South America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-18","description":"

Please note: This is a hybrid role requiring 3 days in office at our Philadelphia HQ - 1818 Market Street.

How you will help
As a senior data engineer on the data platform team, you will be supporting and enhancing the platform that supports HealthVerity’s Petabyte-scale core data asset. You will work closely with other engineers, data scientists, and business leaders to ensure that our data platform is available, secure, and reliable. You will use your strong engineering and product mindset to understand business needs and develop scalable engineering solutions that support HealthVerity’s product roadmap and vision while continuously looking for opportunities to simplify, automate tasks, and build reusable components.

What you will do

Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
Develop and maintain data pipelines to efficiently process and analyze large amounts of streaming data
Collaborate with other data engineers to maintain a cohesive and standardized data infrastructure
Work closely with the software engineering team to integrate data pipelines into the overall platform architecture
Collaborate with cross-functional teams including software engineers, data scientists, product managers, and analysts to understand data needs and deliver valuable platform enhancements that support the overall HealthVerity vision and roadmap.
Identify and implement solutions to optimize data storage, retrieval, and processing
Continuously evaluate and improve data engineering processes and systems to increase efficiency and scalability
Stay up-to-date with emerging technologies and industry trends in data engineering
Ensure data security and compliance with privacy regulations
Troubleshoot and resolve data-related issues in a timely manner
Leverage large-scale distributed computing and serverless architecture including Spark, AWS Lambda, etc. to develop pipelines for transforming data
Partner with the product teams to understand product goals and provide data that enables us to respond to customer and regulatory data requests
Monitor data quality and proactively identify and resolve data issues

Our tech stack:

Our team leverages the following technologies in our day-to-day development process: Github (includes CI/CD Flow-GHA), Python, Postgres, AWS Cloud-native technologies (CDK, Lambda, S3, EMR, ECS, SQS, Eventbridge, AuroraDB, cloudwatch and more), Spark, Databricks (SQL, Delta Live Tables, Unity Catalog, Audit Logs, Workflow), Docker/Kubernetes, Airflow, Hive SQL, Infrastructure as Code (IaC) tools, such as Terraform, YAML, and Helm Charts

How Success is defined

Lead the design and implementation of scalable data solutions
Proactively identify and address data quality and compliance issues
Share knowledge across teams
Contribute to strategic decisions regarding data architecture and tooling

Required skills and experience

You are proficient in at least one primary language (e.g., Java, Scala, Python) and Advanced SQL (any variant)
You have experience with Databricks pipeline automation, AWS EMR, AWS S3 service, Snowflake, Spark, Docker
You have 8+ years of industry experience and proficiency in building distributed data pipelines for both batch and real-time (experience with Spark, Hive, Iceberg, Kafka, Snowflake is helpful, but not strictly required)
You have a product mindset to understand business needs and develop scalable engineering solutions
You are always looking for opportunities to simplify, automate tasks, and build reusable components across multiple use cases and teams
You have strong communication skills to collaborate with cross-functional partners and drive projects. You are curious and eager to work across a variety of engineering specialties (i.e., Data Science, Data Engineering, and Machine Learning to name a few)
You have a strong knowledge of Databricks features and functionalities, such as Unity Catalog, Audit Logs, Databricks SQL and Delta Live Tables
Experience with CI/CD pipelines and DataOps
You have an eye for detail and like to spark joy amongst your partners with well-documented high-quality data products that are modeled and easy to understand
You are able to successfully lead large, complex systems design and implementation challenges independently
Experience using Infrastructure as Code (IaC) tools, such as Terraform, YAML, and Helm Charts

Base salary for the role is commensurate with experience and can range between $120,000 - 200,000 + annual bonus opportunity.

\n \n\n

Hiring Locations

Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.

For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at lease once a year for team-building, collaboration, and strategic planning.

Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:

Hub Locations:

Philadelphia, Pennsylvania
Boston, Massachusetts
New York City, New York
Baltimore, Maryland
Washington, D.C.
Charlotte, North Carolina
Raleigh-Durham, North Carolina
Atlanta, Georgia
Chicago, Illinois

Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.

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About HealthVerity

HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate healthcare and consumer data. We continue to innovate HealthVerity Marketplace, the nation's first and largest real-world data ecosystem comprising more than 75 leading data providers and over 340 million US patients. Combined with Identity Manager, the industry's most accurate and efficient solution for patient identity, privacy and governance, we support critical applications in clinical development, commercial strategy, regulatory decision-making, population health, underwriting and more. HealthVerity has raised more than $140 million to date and works closely with its data providers, partners and clients to Synchronize the Science. To learn more about HealthVerity, visit healthverity.com.

Why you'll love working here

We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.

We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.

We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.

Benefits & Perks

Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.

Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
Benefits: We offer a 401(k) plan and stock options. Health, dental, and vision coverage start on day 1, while 401(k) eligibility and stock options follow soon after.
Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits

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We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.

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If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com

Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.

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About Us

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

\n\n\n\n\n\n\n

Code-based data transformations unlock transparency, flexibility, and collaboration
Analysts should adopt software engineering best practices to build trusted data products
Core analytics infrastructure should be open source and user-controlled
Analytic code—not just tools—should be shared and community-driven

\ndbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.\n \n\n\n\n\n

As a Senior Data Engineer at dbt Labs, you'll take the lead in designing, building, and owning core components of our data ecosystem—from infrastructure to pipelines to data products. This data foundation is essential for enabling analytics, accelerating growth, and improving operational efficiency across the business. You’ll be part of a tight-knit, strategic team that combines strong technical execution with a bias for impact and cross-functional influence.

This is a unique opportunity to join a team involved in using dbt Labs products daily to build the company's internal data capabilities. This group is responsible for building and maintaining foundational data infrastructure that powers critical business decisions across the company. With executive visibility and deep cross-functional impact, the work you do here will directly influence the trajectory of our growth. If you're excited by the challenge of building from the ground up, solving complex technical problems while utilizing cutting edge technology, and driving business strategy through data, this is your chance to make a lasting mark.

In this role, you can expect to:

Design, build, and manage scalable, reliable data pipelines that ingest product and event data into our data stores
Develop and maintain canonical datasets to track key product and business metrics—user growth, engagement, revenue, and more
Architect robust, reliable systems for large volume batch data processing
Drive decisions on data architecture, tooling, and engineering best practices
Enhance observability and monitoring of existing workflows and processes
Partner cross-functionally with teams across Infrastructure, Product, Marketing, Finance, and GTM to understand data needs and deliver impactful solutions
Provide product feedback by “dogfooding” new data infrastructure and AI technology

You’re a great fit if you have:

Are an expert in SQL and Python
5+ years of experience as a data engineer, and 8+ years of total experience in software engineering (including data engineering roles)
Proficiency in at least one additional core Data Engineering language such as Scala, Java or Rust
Strong knowledge of data infrastructure and architecture design
Hands-on experience with modern orchestration tools like Airflow, Dagster, or Prefect
A bias for action—able to stay focused and prioritize effectively

You’ll stand out if you have:

Experience developing and scaling dbt projects
Experience working in a SaaS or high-growth tech environment
Experience working with open table format (such as Apache Iceberg) data storage across regions and clouds

#LI-Remote

Compensation:

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

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- The typical starting salary range for this role is:
\n
$163,000 - $198,000 USD
\n
- The typical starting salary range for this role in the select locations listed is:
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$182,000 - $220,000 USD
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Equity Stake*
Benefits: \n
- dbt Labs offers:\n
  - Unlimited vacation (and yes, we use it!)
  - Excellent healthcare
  - Paid Parental Leave
  - 401k matching
  - Wellness stipend
  - Home office stipend, and more!
  \n
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What to expect in the hiring process (all interviews will be conducted via Zoom):

Interview with a Talent Acquisition Partner to align on the role and the skills and experiences we mutually value
Interview with Hiring Manager
White boarding session with a member of the data team.
White boarding session with a cross functional stakeholder.
Final wrap up/ values discussion with Data Leader

dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

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EasyLlama is transforming the HR compliance industry by reinventing outdated and uninspiring training solutions and adapting them for the mobile-first generation. Our engaging, fun, and interactive training helps millions of employees worldwide build a safer, more positive, and inclusive workplace. As we continue to set the standard in compliance solutions, our vision extends far beyond training—we aim to partner with thousands of organizations to reduce employee risk and foster a more inclusive and secure environment for all.

With world-class customer reviews—boasting a 96% rating on G2 from over 100 reviews—and industry-leading NPS and Customer Satisfaction scores, EasyLlama is proud to have earned the trust of over 5,000 clients, including brands like Shake Shack, WeightWatchers, Sephora, JiffyLube, and Y Combinator. Our mobile-friendly platform delivers on-demand, self-paced, and bite-sized solutions that meet employees where they are, increasing engagement and retention.

At EasyLlama, we are not just transforming compliance training—we are challenging the status quo. We have a strong culture of collaboration, innovation, and getting things done.

🛠️ Responsibilities

Build and maintain self-service, easy-to-use data models and tables in our BI tool (e.g., Metabase, Looker, etc.) so non-technical teams can explore data independently.
Design and develop robust, documented ETL/ELT pipelines to ingest and transform data from:
- Product usage and event data
- Marketing systems (e.g., HubSpot, paid media, web analytics)
- Invoicing and billing platforms (e.g., Stripe)
- Revenue and subscription management systems
Own and evolve the semantic layer: define clear metrics and business definitions (e.g., MRR, churn, LTV) that teams trust.
Partner closely with stakeholders to understand reporting needs—especially around product engagement, customer retention, and financial metrics—and translate them into sustainable data models.
Improve data quality, accuracy, and freshness, including building monitoring and alerting for pipeline issues.
Automate recurring dashboards and reports, eliminating manual exports and spreadsheets.
Contribute to data governance: documentation, versioning, and access controls.
Advocate for data literacy by coaching teams on how to use BI tools effectively.

✅ Requirements

4+ years as a Data Engineer, Analytics Engineer, or similar role.
Strong experience with SQL and designing data models for analytics, financial metrics, and SaaS KPIs.
Experience with backend programming languages (Python, Ruby, etc.)
Proficiency with ETL/ELT tools and orchestration frameworks (e.g., dbt, Airflow, Fivetran, Stitch, etc.).
Hands-on experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, etc.).
Experience integrating data from SaaS tools, product event pipelines, and billing/invoicing systems.
Commitment to building clean, well-documented, and user-friendly data sets.
Excellent communication and collaboration skills—you’ll work closely with non-technical teams including Finance, RevOps, and Marketing.
Ability to balance quick wins with building scalable, long-term data architecture.

🌱 Nice to Have

Experience in a B2B SaaS or subscription business, especially working with ARR/MRR, churn, and retention data.
Familiarity with marketing analytics and attribution models.
Background in product analytics (e.g., tracking feature adoption and engagement).
Knowledge of data testing frameworks and CI/CD for analytics (e.g., dbt tests, Great Expectations).
Interest in mentoring and defining data engineering best practices as the team grows.
Experience implementing data governance, data catalogs, or metrics layers (e.g., LookML, dbt metrics).

What to Expect

The interview process at EasyLlama takes about 3 weeks and may include cross-functional stakeholders of the role. Here's what the interview process looks like:

Recruiter Screen
Hiring Manager Interview
Team Panel
Cross Functional Team Panel (3, 30 min interviews)

How We'll Take Care of You

$146,625 to $185,000
Flexible, fully remote environment
4 Weeks PTO - Recharging is essential. We respect your time off and encourage it.
Competitive employer-sponsored health insurances
401(k) + company matching
Professional development reimbursements
Monthly remote work stipend

The EasyLlama herd is fully remote, with employees distributed across the US. We are currently hiring in the following approved* states:

AR - Arkansas
CA - California
CO - Colorado
FL - Florida
IL - Illinois
MA - Massachusetts
MN - Minnesota
NE - Nebraska
NJ - New Jersey
NY - New York
NC - North Carolina
OH - Ohio
PA - Pennsylvania
TN - Tennessee
TX - Texas
UT - Utah
VA - Virginia
WA - Washington
WI - Wisconsin

*EasyLlama reserves the right to change the list of approved states at anytime.

To ensure the best employee experience, we offer competitive compensation packages, comprehensive benefits, an annual wellness stipend, PTO, 401k with company matching, and monthly team events to nurture connection!

At EasyLlama, we strive to walk the walk. We are helping make workplaces all over the globe safer and more inclusive, including our own. We honor employees and candidates from all walks of life and all experiences, regardless of race, ethnicity, veteran status, disability, sexual orientation, gender identity or religion.

","hiringOrganization":{"@type":"Organization","name":"EasyLlama","sameAs":"https://www.easyllama.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-18","description":"

We are seeking a skilled Data Engineer with a strong software engineering foundation to join our dynamic team. In this role, you will design, develop, and deliver production-grade data solutions that drive business value. You will collaborate with cross-functional teams to build scalable, reusable data pipelines and systems, ensuring high performance, reliability, and maintainability.

Key Responsibilities

Design and implement modular, reusable core shared libraries to support scalable data solutions.
Develop and maintain robust data pipelines using Python to process and transform JSON and relational data.
Collaborate with stakeholders to understand data requirements and deliver production-ready solutions.
Optimize data workflows for performance, scalability, and reliability in production environments.
Ensure data integrity, quality, and accessibility across systems and applications.
Contribute to best practices for data engineering, including code reviews and documentation.

Must-Have Qualifications

Experience: Minimum of 4+ years delivering production-grade data solutions.
Technical Expertise:
Strong software engineering skills with a focus on modular design and reusable code.
Proficiency in Python for data processing and pipeline development.
Extensive experience working with JSON data and relational databases (e.g., SQL).
Problem-Solving: Ability to architect efficient, scalable solutions for complex data challenges.
Collaboration: Proven ability to work effectively with cross-functional teams.

Nice-to-Have Qualifications

Experience with Node.js and/or JavaScript for data-related applications or integrations.
Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) for data engineering tasks.
Knowledge of data orchestration tools (e.g., Apache Airflow) or modern data frameworks.

This position is open to Latin America and Canada only.

","hiringOrganization":{"@type":"Organization","name":"Perform","sameAs":"https://www.totalperform.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-07-16","description":"

What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.

We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

What you will do

Duties for this role include but not limited to: supporting the design, build, test and maintain data pipelines at big data scale. Assists with updating data from multiple data sources. Work on batch processing of collected data and match its format to the stored data, make sure that the data is ready to be processed and analyzed. Assisting with keeping the ecosystem and the pipeline optimized and efficient, troubleshooting standard performance, data related problems and provide L3 support. Implementing parsers, validators, transformers and correlators to reformat, update and enhance the data. Provides recommendations to highly complex problems. Providing guidance to those in less senior positions.

You will be a great fit if you have

Data Engineers play a pivotal role within Dataworks, focused on creating and driving engineering innovation and facilitating the delivery of key business initiatives. Acting as a “universal translator” between IT, business, software engineers and data scientists, data engineers collaborate across multi-disciplinary teams to deliver value. Data Engineers will work on those aspects of the Dataworks platform that govern the ingestion, transformation, and pipelining of data assets, both to end users within FedEx and into data products and services that may be externally facing. Day-to-day, they will be deeply involved in code reviews and large-scale deployments.

Essential Job Duties & Responsibilities

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-07-16","description":"

What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Job Description

Additional Job Description:

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-07-16","description":"

What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Job Description

Additional Job Description:

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Data engineer","datePosted":"2025-07-16","description":"

What can you expect as a FedEx team member?

Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

\" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date\"

Company:

INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.

City:

Chennai

Scheduled Weekly Hours:

Worker Type:

Regular

Posting Start Date

16-Jul-2025

Posting Close Date:

17-Jul-2025

Job Family:

FXE-MEISA: Data Engineer

Position Summary:

Job Description

Additional Job Description:

Understanding in depth both the business and technical problems Dataworks aims to solve
Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and technique
Collaborating across teams to drive the generation of data driven operational insights that translate to high value optimized solutions.
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems

Skill/Knowledge Considered a Plus

Technical background in computer science, software engineering, database systems, distributed systems
Fluency with distributed and cloud environments and a deep understanding of optimizing computational considerations with theoretical properties
Experience in building robust cloud-based data engineering and curation solutions to create data products useful for numerous applications
Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred. Experience with any combination of the following azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Synapse Analytics
Developing and operationalizing capabilities and solutions including under near real-time high-volume streaming conditions.
Hands-on development skills with the ability to work at the code level and help debug hard to resolve issues.
A compelling track record of designing and deploying large scale technical solutions, which deliver tangible, ongoing value
- Direct experience having built and deployed robust, complex production systems that implement modern, data processing methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
- Comfort with working with distributed teams on code-based deliverables, using version control systems and code reviews
Ability to conduct data analysis, investigation, and lineage studies to document and enhance data quality and access
Use of agile and devops practices for project and software management including continuous integration and continuous delivery
Demonstrated expertise working with some of the following common languages and tools:
- Spark (Scala and PySpark), Kafka and other high-volume data tools
- SQL and NoSQL storage tools, such as MySQL, Postgres, MongoDB/CosmosDB
- Java, Python data tools
- Azure DevOps experience to track work, develop using git-integrated version control patterns, and build and utilize CI/CD pipelines
- Working knowledge and experience implementing data architecture patterns to support varying business needs
- Experience with different data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
- Use of Azure Kubernetes Services, Eventhubs, or other related technologies to implement streaming ingestions
- Experience developing and implementing alerting and monitoring frameworks
- Working knowledge of Infrastructure as Code (IaC) through Terraform to create and deploy resources
- Implementation experience across different data stores, messaging systems, and data processing engines
- Data integration through APIs and/or REST service
- PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience a plus

Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills

Bachelor: Computer Engineering

","hiringOrganization":{"@type":"Organization","name":"FedEx","sameAs":"https://www.fedex.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"FXE-MEISA/IND/MAAKL/MAAKL/Chennai, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-16","description":"

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

SS&C Bluedoor – Senior Data Engineer

Job Description

Reports to:

Capability Director – Data Engineering

Opportunity snapshot:

SS&C Bluedoor is going through an exciting period for growth in the APAC region. As the part of this growth, we have a need for a visionary and technically skilled Senior Data Engineer to join the team for the design, development, and optimisation of our enterprise data platform. This role is pivotal in shaping our data platform strategy, ensuring scalability, reliability, and performance across our data ecosystem.

Key accountabilities:

Contribute to the architecture and design of scalable, secure, and high-performance data platforms.
Responsible for the design and implementation of the Data platform using modern data stack technologies including but not limited to:

- Event-driven and batch data based data ingestion and pipelines (e.g., Debezium, Kafka, Flink, Spark, Data Lab)

- Data visualisation & reporting (e.g. SSRS, Pentaho, Data Lens)

- Data governance (e.g. Atlas)

Collaborate with data architect, principal/lead engineer, analysts, and other engineers to deliver robust data solutions.
Lead the implementation of automations by using tools like Terraform, CloudFormation, and CI/CD pipelines.
Ensure data platform reliability, performance, and security.
Mentor and guide junior engineers and contribute to a culture of technical excellence.
Evaluate and integrate emerging technologies to enhance platform capabilities.
Responsible for the incident response and root cause analysis for data platform issues.

Technical Knowledge & Skills:

Expert in
GitHub, Automation, Code/Release management, Private/Public Cloud, Docker/Kubernetes, Streaming technologies (e.g. Debezium CDC, Kafka, Flink), ETL/ELT data pipeline build, Databases (e.g. MS SQL, Postgres), data analytics and reporting (e.g. SSRS, SQL)
Expert in
Verbal and Written Communications, Software Development Life Cycle, Automations, Governance
Proficient in
JIRA, Confluence, Python, Java, .Net

Qualifications & Experience

The following qualifications will be highly regarded:

Hands on experience with AI, LLM
Experience working with geographically distributed teams
Experience working in a matrixed organisation

Personal Attributes:

Technical savvy
Growth mindset
Passionate about continuous improvement
Calm and affirmative when solving conflicts
Ability to develop strong working relationships
Excellent communication skills – both written and verbal
Ability to stick to time constraints
Commercial and business acumen

Key behaviours:

Instils Trust – Must be seen to be truthful and follow through on commitments. Customers and Partners must feel that they are being listened to and understood. The right candidate will be able to be trusted with sensitive and confidential information.
Collaborate – Must be able to work in a co-operative manner with both internal and external teams and take all views and interests into account when formulating outcomes.
Ensure Accountability – Must take full ownership of their assigned responsibilities and the outcomes that are generated and pursued, including any failures.
Customer Focus – Must understand internal and external customer needs from both a functional and operational perspective. Will be seen as a specialist by Customers, who are willing to trust the views and direction of the team as portrayed by the candidate
Develop Talent – Must be seen as a reference point for others, who are willing to pass on their knowledge to improve the overall level of understanding across the group. This should be via coaching, support, reviews and feedback.
Communicate Effectively – Must be able to communicate effectively and efficiently, both in written and verbal forms, across all levels of an organisation and all sizes of groups. Must also be able to listen to others and evidence that they have understood the needs communicated appropriately

Why You Will Love It Here!

: Hybrid Work Model and Business Casual Dress Code, including jeans, Centralized location – 6 minutes’ walk from Phromphong BTS or 10 minutes’ walk from Sukhunvit MRT
Your Future: Retirement Program, Professional Development Reimbursement
Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays, Business Leave, Maternity Leave, Ordination Leave
Your Wellbeing: Medical, Dental, Vision, Life Insurance, Annual Health Check Up, Employee Assistance Program, Parental Leave, Well-Stocked Pantry and Provident Fund Contribution
Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
Hands-On, Team-Customized, including SS&C University
Paid further education opportunities for employees who are eligible
Extra Perks: Bonus Scheme, SS&C Stock(s) Allocation for employees who are eligible
Welfare Committee: Discounts on fitness clubs, travel and more!

#LI-NW1

#CA-NW

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

","hiringOrganization":{"@type":"Organization","name":"SS&C Technologies","sameAs":"https://www.ssctech.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangkok, Thailand","addressCountry":"Thailand","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-16","description":"

About Calo

Launched in Bahrain in November of 2019, Calo is on a mission to make healthy easy. We’re a team of dedicated people driving this mission by providing better, faster, and cheaper ways to access food through technology.

Role Overview

Our tech sits at the heart of our product, and we’re looking for experienced people who are passionate about their work, think about the best possible ways to process data, understand the importance of data, and keep up with the latest technology. You’ll be playing a major role as part of our platform team.

Main Responsibilities

Design, build, and improve the infrastructure for ingesting, storing, and transforming data
Design, build, and enhance dimensional models for Data Warehouse and BI solutions
Work with other departments and support them with their data initiatives
Document new and existing models, solutions, and implementations

Ideal Candidate

Qualifications

5+ years of hands-on professional experience in data engineering-related roles
Experience in building and maintaining data platforms from scratch
Experience with AWS (Redshift, Glue, Lambda, S3, Kinesis, Athena)
Experience with BI solutions
Advanced skills with Python and SQL
AI experience is a plus

Personality

Strong communicator
Pleasant personality and able to lead with empathy and patience

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Experian is seeking a highly skilled and motivated Senior Data Engineer to join our dynamic team. In this role, you will be responsible for developing robust data software applications, scalable data platforms, and innovative data products. You will collaborate closely with cross-functional teams—including application engineers, data scientists, and product stakeholders—to design, build, and implement high-impact solutions that drive business value.

Key Responsibilities:

Lead the design, development, testing, and deployment of data solutions and pipelines.
Collaborate with stakeholders to ensure technology solutions meet business requirements and optimize resource costs.
Contribute to engineering standards, data modeling, and operational readiness.
Provide technical leadership and mentorship to peers and junior engineers.
Communicate project status and technical concepts clearly to both technical and non-technical audiences based in the U.S. and locally.
Ensure effective change management and solution adoption through documentation, training, and knowledge transfer.
Manage multiple priorities in a fast-paced, agile environment.
Continuously improve processes, tools, and methodologies based on industry best practices.

Qualifications

•5 to 7 years of experience in data engineering or related roles.

• Strong expertise in cloud development, particularly with AWS services such as Aurora PostgreSQL RDS, Redshift, S3, EC2, Lambda, SQS, and SNS.

• Hands-on experience with AWS Glue, Amazon Data Firehose, EMR, and Athena in high-volume environments.

• Expert in SQL and proficient in PySpark and Python.

• Deep understanding of data platform paradigms and software/data architecture.

• Understanding of data modeling principles and data warehousing techniques is essential.

• Proven ability to troubleshoot and resolve complex performance issues utilizing tools such as DataDog, CloudWatch, Splunk, dBeaver, and DataGrip

• Strong problem-solving, communication, and time management skills.

• Experience working in agile, multi-project environments.

Preferred Skills:

• Working knowledge of Apache Iceberg, AWS Lake Formation and AWS DataZone.

• Experience with CI/CD pipelines and DevOps practices.

• Familiarity with data governance frameworks, security, and compliance standards.

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

","hiringOrganization":{"@type":"Organization","name":"Experian","sameAs":"https://www.experian.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":28,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

Join us as a Senior Data Engineer to support complex reporting services for our actuarial colleagues!

What you will do

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in SQL, ETL processes, Databricks, Azure DevOps, Data Vault, Business Vault, Azure Data Factory (ADF), data transformation, data modeling, data analysis, and developing data marts.

What are the tasks you will perform

Design, develop, and maintain robust data pipelines and ETL processes.
Utilize Databricks and Azure Data Factory (ADF) for data integration and transformation.
Implement and manage Data Vault and Business Vault architecture.
Develop and optimize SQL queries for data extraction and analysis.
Perform data modeling and create data marts to support business intelligence and analytics.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality, integrity, and security across all data processes.
Provide technical guidance and mentorship to junior data engineers.

What we expect from you

A completed Master´s degree.
Strong communication skills in English, with ability to engage both technical and non-technical stakeholders.
Proficiency in SQL and ETL processes.
Hands-on experience with Databricks and Azure DevOps.
Knowledge of Data Vault and Business Vault methodologies.
Expertise in Azure Data Factory (ADF) and data transformation techniques.
Solid understanding of data modeling and data analysis.
Proven experience in developing data marts and reports.

What you get with NN

We allow you to work where you feel the most comfortable, whether it is in the office or from home, and we contribute to your home office expenses every month.
We understand the importance of having a work-life balance, which is why we offer 5 weeks of vacation, 5 well-being days, additional paid time off for personal and family events, and 1 volunteering day to support our community.
In addition to your base salary you will have a lump-sum meal allowance, up to CZK 20,000 in the Cafeteria per year, the possibility of arranging a MultiSport card, the possibility of contributing to supplementary pension insurance / supplementary pension savings, and a discount on life insurance.
We believe that your professional and personal growth is crucial, which is why we provide you with tailor-made professional training.
Your friends and acquaintances are a valuable source of talent for us, which is why we offer up to 60,000 CZK as a reward for recommending a suitable candidate.
A business laptop and an iPhone with a paid O2 tariff and a data package are basic tools for your work.

What is the hiring process with us like

After reviewing your application, including your CV in English, you will receive a short phone call from Petra (Talent Acquisition Partner) to discuss basic details about your previous work experience and the open position. If everything goes well, we will meet twice in total. The first round will be an introductory meeting with Shobha (BI Squad Team Lead). In the second round, you will meet one of the stakeholders and/or your potential future colleague from the team (Engineer).

","hiringOrganization":{"@type":"Organization","name":"NN Group","sameAs":"https://www.nn-group.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Digital Hub Prague, Czechia","addressCountry":"Czechia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

If you are a curious, data-driven professional who enjoys turning numbers into narratives, we would love to hear from you. Apply for Senior Data Engineer vacancy now and help us drive smarter financial decisions.

What is the mission of the position

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with expertise in SQL, ETL processes, Databricks, Azure DevOps, Data Vault, Business Vault, Azure Data Factory (ADF), data transformation, data modeling, data analysis, Data quality checks and developing data marts.
We’re a tight-knit crew of sharp minds in Prague & Netherlands, each with a knack for solving the unsolvable and simplifying the complex. From number crunchers and data whisperers to process optimizers and strategy ninjas, we bring a mix of skills, curiosity, and caffeine-fueled brilliance to every challenge. Together, we’re on a mission to make finance smarter, smoother, and a whole lot more human.

What are the tasks you will perform

Design, develop, and maintain robust data pipelines and ETL processes.
Utilize Databricks and Azure Data Factory (ADF) for data integration and transformation.
Implement Data Quality (DQ) Framework, develop DQ checks.
Implement and manage Data Vault and Business Vault architecture.
Develop and optimize SQL queries for data extraction and analysis.
Perform data modeling and create data marts to support business intelligence and analytics.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Ensure data quality, integrity, and security across all data processes.
Provide technical guidance and mentorship to junior data engineers.

What we expect from you

A completed Master´s degree.
Strong communication skills in English, with ability to engage both technical and non-technical stakeholders.
Proficiency in SQL and ETL processes, Python, Databricks, or other DWH.
Hands-on experience with Databricks, Azure DevOps, and CI/CD process.
Knowledge of Data Vault and Business Vault methodologies.
Expertise in Azure Data Factory and data transformation techniques.
Solid understanding of data modeling and data analysis.
Proven experience in developing data marts and reports.

What you get with NN

We allow you to work where you feel the most comfortable, whether it is in the office or from home, and we contribute to your home office expenses every month.
We understand the importance of having a work-life balance, which is why we offer 5 weeks of vacation, 5 well-being days, additional paid time off for personal and family events, and 1 volunteering day to support our community.
In addition to your base salary you will have a lump-sum meal allowance, up to CZK 20,000 in the Cafeteria per year, the possibility of arranging a MultiSport card, the possibility of contributing to supplementary pension insurance / supplementary pension savings, and a discount on life insurance.
We believe that your professional and personal growth is crucial, which is why we provide you with tailor-made professional training.
Your friends and acquaintances are a valuable source of talent for us, which is why we offer up to 60,000 CZK as a reward for recommending a suitable candidate.
A business laptop and an iPhone with a paid O2 tariff and a data package are basic tools for your work.

What is the hiring process with us like
After reviewing your application, including your CV in English, you will receive a short phone call from Petra (Talent Acquisition Partner) to discuss basic details about your previous work experience and the open position. If everything goes well, we will meet twice in total. The first round will be an introductory meeting with Shobha (BI Squad Team Lead). In the second round, you will meet one of the stakeholders and/or your potential future colleague from the team (Engineer).

","hiringOrganization":{"@type":"Organization","name":"NN Group","sameAs":"https://www.nn-group.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Digital Hub Prague, Czechia","addressCountry":"Czechia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-03","description":"

Description-

Where elite engineering talent meets world-class opportunities

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

We are building a community of top-tier engineering minds and we are inviting exceptional Data Engineers to join our elite collective and collaborate on the future of data infrastructure and analytics at scale.

Structured Onboarding Process

To maintain the quality and impact of our engineering collective, we follow a simple, effective onboarding process:

Screening – Review applicants based on 7+ years of experience in Data Engineering, with deep knowledge of Databricks, ETL/ELT workflows, lakehouse architecture, and cloud-based systems.
Technical Assessment – Evaluate via pipeline design challenges, optimization exercises, or use-case walkthroughs.
Interview & Alignment – Assess collaboration mindset, problem-solving approach, and fit within our expert network.

Ready to Engineer the Future?

Become part of Xenon7’s Elite Data Engineering Community, where your skills are respected, your voice matters, and your work powers innovation at scale.

Let’s connect and explore how your expertise can drive the next wave of transformation.

Requirements

Who Are We Looking For?

Data Engineers at Xenon7 are builders, problem-solvers, and performance-optimizers. They design the pipelines that power intelligent systems, enabling teams to access, transform, and act on data with confidence.

We’re building a handpicked network of high-impact data engineering professionals who are:

7+ years of experience in data engineering roles
Skilled in Python, PySpark, and SQL
Experienced in building scalable ETL/ELT pipelines using Databricks or similar big data platforms
Well-versed in lakehouse architecture, data lakes, and governance practices (e.g., Unity Catalog)
Comfortable using Git-based tools (Bitbucket, GitHub) in a collaborative DevOps environment
Experienced in cloud data engineering on Azure or AWS
Knowledgeable in workflow orchestration (Databricks Workflows, Airflow, etc.)
Focused on optimization, performance, and reliability
Preferred: Familiarity with Snowflake, CI/CD pipelines, and tools like Jenkins

Benefits

Why You Should Join Us?

At Xenon7, we’re curating a trust-based, expert-driven collective where we bring the projects, and you bring the expertise.

No spam, no endless listings. Just curated, high-impact projects that match your skillset and ambition.
We understand the value of your time, expertise, and independence. You’re a strategic partner in solving real business challenges.
Work with leading healthcare enterprises, innovative startups, and digital disruptors. We connect you to projects where your contribution truly matters.
Get paid in USD, with clear, timely, and reliable payment structures, so you focus on delivering impact, not chasing invoices.
Pick the projects that align with your interests and availability. No long-term lock-ins, no pressure, you work when and how it suits you.
Join global teams and collaborate remotely with the best minds across industries, all from the comfort of your chosen workspace.
Engage with a community of top-tier professionals. Exchange knowledge, share ideas, and grow with every collaboration.

","hiringOrganization":{"@type":"Organization","name":"Xenon7","sameAs":"https://xenon7.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

De energietransitie is onmogelijk zonder jou als Senior Data Engineer

Als Senior Data Engineer zorg jij voor een toekomstbestendige datastructuur die helpt bij het nemen van strategische beslissingen. Je werkt in het scrumteam business platform data, onderdeel van Business Platforms. Hier voorzien we interne en externe consumenten van gegevensproducten conform DataMesh principe. Het energienet van de toekomst maken we voor iedereen, mét iedereen. En als Senior Data Engineer werk jij hieraan mee. Zo ben jij bezig met het:

· ontwikkelen en onderhouden van datakoppelingen tussen Snowflake en bronsystemen zoals SAP met Matillion.

· bouwen van dataproducten volgens FAIR- en datamesh-principes en publiceren in Atlan.

· verbeteren van dataoplossingen in nauwe samenwerking met de data eigenaar en de data consumenten.

· bijdragen aan datakwaliteit en het optimaliseren van data delen.

· ontwikkelen volgens het BRO-principe: you build it, you run it, you own it.

Jij maakt het net completer bij Alliander

Wist je dat we bij Alliander uit verschillende bedrijven bestaan? Met een grote club vakmensen ontwikkelen en beheren we het energienet voor miljoenen inwoners en ondernemers van Nederland. Dit doen we samen en met aandacht voor onze klant. En dankzij onze talenten hebben wij het volste vertrouwen in de energietoekomst van Nederland. Samen met jou maken wij de energietransitie mogelijk.

En jij gaat dat doen bij ons bedrijfsonderdeel Alliander. Je werkt in het team Business Platform data team. Hier werk je nauw samen met data engineers en businessanalisten. De cultuur is leergierig, resultaatgericht en collegiaal. Jullie kijken vooruit, nemen verantwoordelijkheid en zoeken naar slimme verbeteringen. Je werkt hybride: thuis én op onze kantoren in Arnhem.

Jij maakt het net energieker

Meedenken over een slimme en veilige digitale oplossing. Dat doe je vanuit je eigen kracht en talent. En dat doe je bij ons. Draag jij daaraan bij met jouw kritische kijk op zaken? En vul je dit daarnaast aan met:

· minimaal 8 jaar ervaring als data engineer met diepgaande kennis van SQL.

· ruime ervaring met Snowflake en ETL-processen.

· kennis van dimensioneel modelleren volgens het Kimball-model.

· ervaring met ETL tools bij voorkeur Matillion.

· ervaring met het ontwikkelen van oplossingen op basis van ‘security by design’.

Voor jou net beter geregeld

Daarvoor krijg jij op basis van een 40-urige werkweek:

· een salaris van € 5.103,98 tot € 7.291,40 bruto per maand (schaal 10).

· jaarlijks een individueel keuze budget (IKB) van 18% (fulltime) of 12,8% (parttime) van je bruto jaarsalaris. Dit is inclusief 8% vakantietoeslag.

· 24,5 vakantiedagen per jaar. Je kunt daarnaast feestdagen ruilen voor feestdagen uit een andere cultuur of religie.

· een eindejaarsuitkering in december van 6% van je jaarsalaris.

· een DI-budget van € 500,- per jaar voor jouw duurzame inzetbaarheid.

Natuurlijk hebben we nog veel meer! Lees meer over Alliander en al jouw arbeidsvoorwaarden.

Voor jou net wat meer informatie

Samen maken we het net beter. Voor iedereen, met iedereen. En daar hoor jij bij! Solliciteer op deze vacature. Binnen 5 werkdagen krijg je een reactie van ons.

Een assessment of screening kan onderdeel uitmaken van jouw sollicitatieprocedure. In onze screeningsvoorwaarden vind je meer informatie. Heb je nog vragen over de selectieprocedure of screening? Dan helpt Patrick Nieuwenhuijzen, Corporate Recruiter IT, jou graag verder via patrick.nieuwenhuijzen@alliander.com.

Recruiter

Patrick Nieuwenhuijzen

Telefoonnummer:

+31 (6) 24622647, +31 (6) 27225619","hiringOrganization":{"@type":"Organization","name":"Alliander","sameAs":"https://www.werkenbij.alliander.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"ARNHEM, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":32,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-15","description":"

Who We Are – MassMutual India

Since 1851, MassMutual’s commitment has always been to help people protect their families, support their communities, and help one another. Therefore, we want to inspire people to Live Mutual. We at MassMutual value diversity and inclusion. We’re people helping people

A career with us means you will work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are the foundation of what makes MassMutual a strong, stable, and ethical business. We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard. We invite you to bring your bright, innovative ideas to MassMutual as we continue to help millions of Americans rely on each other.

Together, we’re stronger.

Job Description

Our ideal Mastery Data Engineer is a collaborative leader skilled in data analytics, data modeling, and database design. You’re also committed to data integrity, are highly analytical, and can work on multiple projects at once. You’ll use your skills to develop, monitor, and manage data systems across our platform. You will work on a variety of projects supporting the Corporate Finance, Investment Management or Enterprise Risk Management organizations.

Why Join Us?

We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products, and services. To accomplish this, we celebrate an inclusive, vibrant, and diverse culture that encourages growth, openness, and opportunities for everyone. A career with MassMutual, Great Place to Work® certified and India's Best Workplaces in BFSI 2023 - Top 50 organization means you will be part of a strong, stable, and ethical business with industry leading pay and benefits. And your voice will always be heard.

Does this sound like a great fit? Apply today!

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Acrisure Innovation

Austin, TX (Onsite 4 days per week)

Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position.

Why Choose Acrisure?

Acrisure Innovation is where human expertise meets advanced technology.

Acrisure Innovation is a fast paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry. Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science.

At the core of our operating model is our technology: we’re building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries.

Our culture is strong. We are a collaborative company of entrepreneurial, innovative, and talented people who believe in our future. We outthink and out work the competition. We look outside our walls and are energized by our fast-paced trajectory.

Our vision for the future is clear. We have limitless potential to achieve unprecedented success in the insurance industry. To achieve our opportunity, a best-in-class Team must support us.

Learn more about Acrisure Innovation: https://builtin.com/company/acrisure-innovation

Position Overview:

The Innovation team’s mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by building a data lakehouse that powers analytics and reporting platforms, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers. 

The Senior Data Engineer is responsible for designing and developing complex ELT processes required to populate our data lakehouse which supplies data for the Product, AI & Data Intelligence teams.  Responsibility includes hands-on contributions in data engineering and data architecture working with a team of full time and contracted developers as well as coaching and mentoring junior and mid-level developers. Ensuring high quality and best practices are maintained through the development cycle is key to this position. 

Responsibilities: 

Leverage established guidelines and custom designs to create complex ELT processes to meet the needs of the business.

Onboard and curate data sources including data preparation/ELT and modeling to enable data consumption by analytics and AI teams

Act as a Solution Architect and Technology Leader – ability to make decisions in the face of ambiguity and solve difficult technical problems.

Lead discovery, requirements, level of effort estimation and project planning for strategic company initiatives.

Independently determine methods and procedures for new or existing requirements and functionality.

Onboard, Lead, and Mentor junior and mid-level developers.

Work closely with Data Source contacts, Analysts, Product and Data Intelligence teams to identify opportunities and assess improvements of our products and services.

Contribute to workshops with the business user community to further their knowledge and use of the data ecosystem.

Produce and maintain accurate project documentation, project planning and presentations.

Collaborate with various data providers to resolve dashboard, reporting and data related issues.

Perform Data benchmarking, enhancements, optimizations, and platform analytics.

Participate in the research, development, and adoption of trends in technology, data and analytics

Qualifications & Requirements: 

Bachelor's degree preferred or equivalent experience along with a demonstrated desire for continuing education and improvement. 

Experience: 

Minimum 8-10 years in Data Engineering, preferably with expertise in an Azure environment with Data Bricks, Azure Data Factory, Azure Data Lake.

Minimum 8-10 years architecting and designing data warehouses, data modeling, and end-to-end ELT processes

Successfully delivered 5+ end to end projects – from Inception to Execution - in Data Engineering / Data Science / Data Integration as a Tech Lead/Principal

Strong hands-on experience with Data Lake & Delta Lake Concepts.

Strong hands-on experience with Databricks Unity Catalog and usage in dealing with Delta tables.

Ability to Analyze, summarize, and characterize large or small data sets with varying degrees of fidelity or quality, and identify and explain any insights or patterns within them.

Experience with multi-source data warehouses

Experience with other cloud environments (GCP) a definite plus.

Experience in data analytics and reporting, particularly with Power BI a plus

Hands on experience building logical data models and physical data models

Write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results.

Create and share standards, best practices, documentation and reference examples for data warehouse, integration/ELT systems, and end user reporting

Apply disciplined approach to testing software and data, identifying data anomalies, and correcting both data errors and their root causes

Should be well versed with Key Vault \\ create & maintenance and usage of secrets in both Databricks & ADF

Should be knowledgeable in Stored procedures \\ functions and be able to use them by ADF & Databricks as this is a widely used Practice in Acrisure.

Should be familiar with DevOps process for Azure artifacts and database artifacts.

Should be well versed with ADF concepts like chaining pipelines, passing parameters, using APIs for ADF & Databricks to perform various activities.

Should be well versed with Agile and Scrum principles and procedures, and working with Jira

Additional Qualifications:

Excellent organizational skills with the ability to prioritize, communicate and execute tasks across multiple projects with tight deadlines and aggressive goals.

Expert working knowledge of SQL, Python and Spark, and demonstrated ability to create ad-hoc SQL queries to analyze data, create prototypes, etc.

Ability to understand complex issues and clearly articulate complex ideas.

Demonstrated ability to champion change, influence, and drive results in a complex organization.

Ability to mentor junior developers and contribute to the growth of the team.

Excellent verbal and written communication skills.

Experience working in a Multi-Cloud Environment a Plus

Experience working with dbt a Plus

Knowledge of the Insurance Industry or FinTech a Plus

Acrisure is equally committed to supporting social issues. In its home of Grand Rapids, Acrisure provided $15 million to create the Acrisure Center for Innovation in Children’s Health at Helen DeVos Children’s Hospital.

Acrisure is committed to employing a diverse workforce. All applicants will be considered for employment without attention to race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We are interested in every qualified candidate who is eligible to work in the United States. We are not able to sponsor visas for this position.

To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure’s property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure’s Human Resources Talent Department.

https://www.acrisure.com/acrisureacastaffprivacynotice/

#BI-Hybrid

#LI-Hybrid

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Senior Data Engineer

Reporting to: Data Engineering Lead
Location: Hamburg, hybrid

DEPT®/DATA

DEPT®/AI has a single mission: to make the best work in the industry using Data & AI to enhance everything we do. This role sits within our Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT® teams around the world across different services – from commerce, to full-funnel media, content engineering to internal operations. You will be solving some of the hardest and most challenging problems facing some of the best loved brands in the world – and doing this alongside an experienced team.

This role is part of our EMEA Data craft team, an integrated craft across Europe driving data engineering, data science, and AI initiatives. We combine our expertise in data architecture, analytics, and AI to deliver exceptional data-driven solutions that build lasting relationships with our clients like Footlocker, Nikon, Rituals, and Philips.

ROLE OVERVIEW

As a Senior Data Engineer you’re supporting our clients in architectural design, implementation and researching of the more complex data integrations setups. You also work on providing other data consumers like data scientists the needed data for their data models and watchdog continuous delivery on projects, periodically reviewing the current tech stack decisions and challenging the components from every aspect - operational, security and cost aspect.

JOB PURPOSE

As part of the EMEA Data craft team, you will be responsible for delivering technical excellence on complex client projects. Our Data Engineers are supporting our clients in architectural design, implementation and researching of the more complex data integrations setups. They also work on providing other data consumers the needed data for their data models and watchdog continuous delivery on projects, periodically reviewing the current tech stack decisions and challenging the components from every aspect - operational, security and cost aspect.

KEY RESPONSIBILITIES

Steering clients with profound technical and communication skills;
Guide our clients with your expertise, give them the right advice for them to become data-mature and evangelize the best practices within DEPT® as well our clients;
Envisioning a target architecture / implementation with its constituents and roll out an implementation plan for it;
Sensitivity on clean coding, adherence to best practices, CI/CD, peer upskilling;
Brainstorm and put on workshops with clients to spot new data opportunities;
Sales pitching, training organization, data product ownership, data privacy.

WHAT WE ARE LOOKING FOR

Extensive experience in a data engineering role, preferably in a digital agency environment;
Hands-on experience with at least one (hopefully more than one) of the following projects: data migration, data platform setup, end-to-end analytics & reporting setup, data warehouse setup (incl. modeling), data activation, data quality, data governance, real-time reporting;
Hands on experience on GCP (Google Cloud Platform) environment; preferably on most of the following: BigQuery, Cloud Composer, Cloud Run, Cloud Monitoring & Logging, Dataplex, Beam, Tentacles and Pub/Sub;
Fluent Python, SQL skills with real life project experience;
Experience on orchestration tools such as Airflow and DBT;
Experience with one of major analytical DWHs is plus: BigQuery, Redshift, Snowflake, Databricks, Synapse;
Work experience with following technologies are noteworthy to mention and might be seen as bonus: AWS (and Data related proprietary technologies), Azure (and Data related proprietary technologies), Adverity, Fivetran, Looker, PBI, Tableau, RDBMS, Spark, Redis, Kafka;
Being a fair, kind and reliable colleague, open to bi-directional criticism and feedback loop, autonomous but equally responsible;
Working proficiency in the English language;
Master's degree in Computer Science, Engineering, or related field (or equivalent experience)

WE OFFER

Flexible, hybrid working policy (2 days at the office);
Company pension scheme.
Lease bike options / JobRad and 25% subsidy for the Deutschlandticket.
Occasional breakfast/lunch at the office, Smoothie Tuesdays.
Stay happy and healthy with a contribution to your health through the OpenUp platform;
€30 per month - You can use the flexible package for digital food stamps and/or fitness providers/sport clubs/massage studios, internet costs, and/ or public transport.
Future Bens - Exclusive access to sustainable, healthy products at attractive deals.
Social events, plenty of opportunities to connect with colleagues through organised activities and celebrations.
A reputation for doing good. DEPT® has been a Certified B Corp® since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
Awesome clients. Whether big or small, local or global — at DEPT® you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHO ARE WE?

We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating.

Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world.

DIVERSITY, EQUITY & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

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Company Description

Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide.

Natixis in Portugal is part of the Global Financial Services division, where it applies technology for the development of financial expertise in its two global business lines – Corporate & Investment Banking and Asset & Wealth Management – and, transversally, for the entities of Groupe BPCE.

The Centre of Expertise, based in Porto, currently has more than 2,400 employees from over 30 nationalities, organised in three main departments: Information Technology, Banking Support Activities and Compliance. These teams work in an integrated, inclusive and transversal way, supporting and creating value for all the business lines and platforms of the group. The project in Porto is one of the biggest investments in Human Resources ever made by Groupe BPCE worldwide.

A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem.

In 2024, Top Employers Institute has awarded Natixis in Portugal the Top Employer Portugal accreditation for the second time. This certification recognizes excellence in people practices, following the example of our head office, in France, who was certified Top Employer France for the eight year in a row.

Job Description

We are looking for a Senior Data Engineer to join the IT Payments Data Team. The project is being developed by a team that is present in Paris and Porto and is mainly responsible for the evolution and support of the product. Designing, developing, and implementing scalable and efficient data solutions for the payments domain.

Main tasks:

Participate as a technical referent in developing code for processing and analyzing large amounts of data (e.g. unstructured tracking data, large full-text data sets, graph data, etc.).
Design and implement highly scalable batch or real-time data processing workflows/components and products that make smart use of data to provide data-driven functionality (e.g. search services, recommender services, classification services, etc.), leveraging machine learning, Big Data technology, and distributed systems.
Build, monitor and operate services delivery within the Natixis infrastructure, while enhancing data quality/utility and automating processes.
Deploy solutions on cloud technologies, mainly GCP (Google Cloud Platform)
Work in a cross-functional team and collaborate closely with Data Scientists and Analysts to support the (technical) design, implementation and evaluation of new algorithms, machine learning models and other data-driven features and services.
Guide and support team members through technical issues and challenges related to data engineering and the uses tech stack.

Qualifications

Degree in Information Technology or Computer Engineering, Computer Science or a related field.
Between 3 to 9 years of experience in designing and implementing scalable software and data-driven services using Big Data technologies, data storages (e.g. relational databases, key-value stores), data warehouses, data lakes, data lakehouses and related data processing technologies, as well as programming languages such as Spark / Python / Java / Scala (for real-time and batch processing).
Experience in building and optimizing data pipelines that process large datasets using Spark and cloud computing environment.
Experience with working on cloud environments especially with data related services, for example BigQuery, BigTable, Dataproc, GCS, Composer, GKE on Google Cloud Platform and low-code/no-code (e.g YAML) approaches for ETL tools.
Experience in Business Intelligence and SQL utilization on analyzing large datasets.
Experience with workflow management platforms (like Airflow) and collaborative platforms (like Jupyter)
Some experience in the domain of information retrieval, information extraction or machine learning/AI concepts and technologies is a plus.
Good knowledge of Agile methodologies (SAFe / Scrum).
In-depth understanding of software development processes, CI/CD methodologies, Devops overview and quality assurance practices. (e.g. XLRelease/XLDeploy, Terraform, Jenkins, GIT, Bitbucket, etc)
Microsoft Azure and PowerBI is a plus.
Familiarity with AI concepts and technologies is a plus but not a primary focus of the role.

Additional Information

#MuchMoreThanJustAJob

Early morning. Campo 24 de Agosto. In 4 minutes, you are clocking in at the office. After grabbing a cup of coffee and fresh fruit, pick up your laptop and choose your spot for the day. It's going to be a busy one: French class before lunch and, just after, quick medical appointment at Natixis doctor's office.

Lunch break. Outside in the big terrace (look at your crops at the Urban Garden; ready to harvest!) or, if you feel like stretching your legs, walk downtown to grab lunch.

Back inside. Quick sprint review (working together anywhere means virtual happy birthday to that colleague in Paris that just turned 35). The afternoon went flying (tasks, reports, calls, some jokes with your teammates). End it on a high note: just one PlayStation game or the final match for that ping-pong tournament.

Tomorrow, you complete that certified technical training and the day after, you will work from home, taking advantage to finally do that online course on Udemy. Once you are done with your tasks for the day, you can visit the office for a board games session or show up at the rehearsal of one of Natixis bands. If that is too steady for you, meet your colleagues to surf some waves or join them in a football match.

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phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
Fivetran, dbt, Atlation, Matillion Partner of the Year
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)
Recognized as an award-winning workplace in US, India and LATAM

Unlock future opportunities at phData, where innovation meets data excellence. At phData we’re always on the lookout for top talent and we’re committed to expanding our network of skilled professionals. As our requirements evolve, we encourage you to apply and submit your resume here, even if there’s no role available at the moment. Your information will be added to our system, and we’ll notify you of relevant opportunities as they become available if you are a fit.

Required Experience:

At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
Programming expertise in Java, Python and/or Scala
Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing written and verbal communication skills and experience
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
4-year Bachelor's degree in Computer Science or a related field

Prefer any of the following:

Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
Multiple data sources (e.g. queues, relational databases, files, search, API)
Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

#LI-DNI

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

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PushPress is building the Intelligent Industry Ledger for boutique fitness.
We’re transforming how boutique gyms operate — and how the entire $100B fitness industry connects, transacts, and grows. Trusted by 5,000+ gyms and 500,000+ members, PushPress processes over $500M annually and is backed by Altos Ventures and Mucker Capital.
We're evolving from a traditional business system of record into an AI-powered Industry Ledger — an intelligent infrastructure layer that brings order to a highly fragmented boutique fitness industry. By unifying disconnected operators, workflows, and data into a single platform, we’re enabling faster decisions, new business models, cross-gym collaboration, and network effects that increase the value of every studio in our client base.
We’re a global team of builders, operators, and fitness fanatics on a mission to level the playing field for fitness entrepreneurs. If you're ready to help reshape an industry — let’s talk.
About The Role
We're building a data platform that handles analytics, reporting, and AI insights for our business. We’re looking to hire a Senior Data Engineer to join our Data squad, own key data areas and support company-wide projects. You'll design and maintain our data infrastructure - the pipelines that bring data in, the DBT models that transform it, and the systems that orchestrate everything. We use Snowflake, Paradime, Hevo, and Airflow. You'll work with Product, Marketing, Sales, Customer Experience (CX), and Finance teams to give them clean, reliable data for decisions. This job works well for someone who likes fast-moving startups and can handle different parts of the data process.\n

What You'll Do

Build and maintain data pipelines that pull in and transform data from different sources using Hevo or Fivetran
Create DBT models that let teams analyze data themselves and generate reliable reports in Metabase
Set up workflows and manage how data flows between systems using AirflowCreate data quality checks, alerts, and testing systems
Build datasets that data science, business teams, and AI applications can useWork with other teams to understand what they need and deliver useful data products
Review code and give feedback on architecture to keep engineering quality highHelp build data pipelines that work with AI, including parsing messy data and using LLMs (nice to have)

What You'll Need

5+ years doing data engineering with real production pipelines and data modeling
Strong SQL and Python skills, lots of experience with DBT
Good understanding of Snowflake - how to optimize queries, manage costs, set up access controls, and design schemas that scale
Experience with workflow tools like Airflow or Dagster
Know how to use data ingestion tools like Hevo or Fivetran
Bonus: Experience working with messy data and integrating LLMs (Claude, OpenAI, etc.)Can prioritize well and work across different areas (marketing analytics, sales reporting, product insights)
Good at communicating and taking ownership of your work

PushPress is dedicated to fostering an inclusive and dynamic workplace. We’re all about leveling up, and that means we don’t tolerate any form of discrimination or harassment. We’re committed to provide equal opportunities, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability, genetic info, veteran status, or any other legally protected characteristic.
At PushPress, we’re dedicated to helping both our technology and our team reach peak performance. Whether it’s with your proactive approach, eye for detail, or drive to make a meaningful impact, we’d love to hear from you. At PushPress, we’re all about pushing boundaries and achieving new personal bests—come join us and be part of our fitness-tech journey!","hiringOrganization":{"@type":"Organization","name":"PushPress","sameAs":"https://www.pushpress.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"

Who We Are:

SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.

We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:

Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.
Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always.
Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.

Job Summary:

On the Data Engineering team we transform streams of data into insights that solve real world Pharmacy Benefits Management challenges. How? By leveraging LLMs where appropriate, to empower our Data Analytics and Machine Learning teams so that drug pricing is transparent and easy to understand. We deliver business impact by designing, implementing, and maintaining distributed systems to collect, aggregate, and govern pharmaceutical data. We leverage a collection of open source tools like Airflow and DBT built on top of industry leading data warehouses and use Python in our daily work.

In order to be eligible for this position applicants must be based in one of the following states: Arkansas, Arizona, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin.

What you will do:

Design and implement scalable, performant data models to deliver rapid insights into drivers of drug prices and cost-savings opportunities.
Develop and optimize processes to improve the correctness and usability of 3rd party data.
Implement data quality principles to raise the bar for reliability of data shared internally and externally.
Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance.
Apply AI best practices to document data engineering processes, data models.
Be a role model and mentor to junior team members by providing technical guidance and support.

What you will bring to SmithRx:

8+ years of industrial experience in data engineering, including demonstrated expertise in data warehouse technologies. (e.g. Snowflake)
Master’s degree in Computer Science, Information Technology, or a related field
Strong programming skills, in languages including C#/C++, Go, Java, Python/PySpark, Scala, and SQL
Mastery of data modeling concepts and database design principles as evidenced by production-grade implementations.
Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker, Superset).
In-depth experience with entire data lifecycle, from ingestion to processing to usability by various business functions
Direct ownership and responsibility for development implementation, and production release of multiple data processing solutions, utilizing distributed systems.
Demonstrated ability to consistently deliver impactful outcomes for your team and the business through high personal output.
Ability to mentor engineers, improving their technical and non-technical skills to maximize their impact.
Proven ability to drive results in fast-paced growth environment, including navigating ambiguity and collaborating productively with business stakeholders
Start-up and healthcare experience is highly desirable.

What SmithRx Offers You:

Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
Flexible Spending Benefits
401(k) Retirement Savings Program
Short-term and long-term disability
Discretionary Paid Time Off
12 Paid Holidays
Wellness Benefits
Commuter Benefits
Paid Parental Leave benefits
Employee Assistance Program (EAP)
Well-stocked kitchen in office locations
Professional development and training opportunities

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Role overview

\n\n\n

As a Senior Data Engineer, you will develop high-performing data solutions that enable analytics, reporting, and downstream consumption across the business. This position offers the opportunity to influence technical direction, lead delivery on critical data flows, and collaborate closely with peers and leadership across the data and engineering organizations.

You will also share responsibility with your peers (other Senior and Principal Engineers) for operational support and essential platform tasks—ensuring consistent data quality and platform availability. This includes responding to production issues and fulfilling data platform requests that are foundational to business operations.

This role will ideally sit out of our Charlotte, NC HQ (Hybrid - In office Tues, Weds, Thurs).

What you'll do

Data Engineering & Platform Ownership

Design and implement scalable, cloud-native data pipelines, including both batch and streaming use cases (e.g., Azure Data Factory, Databricks, Spark, Kafka).
Build and maintain multi-dimensional data models optimized for performance, cost, and maintainability.
Integrate upstream data sources such as ERP, CRM, and external APIs into core data systems with attention to data integrity and lineage.
Optimize data flows for storage, processing, and performance using tools and best practices from the Azure ecosystem.

Operational Coverage & Shared Ownership

Participate in a weekly on-call operational rotation shared across Senior and Principal Engineers.
Own resolution of production issues during coverage weeks, including root cause analysis and stakeholder communication.
Complete both complex and foundational data tasks (e.g., adding new attributes to tables) when supporting operations—ensuring platform reliability and agility.
Prepare operational metrics and contribute to process improvement efforts that drive system performance and team efficiency.

Collaboration & Delivery

Partner with product managers, analysts, and engineering peers to understand business needs and deliver well-architected data solutions.
Provide peer mentorship and participate in code and design reviews to elevate team standards.
Contribute to team documentation, reusability practices, and internal knowledge sharing.
Influence decisions around tooling, pipeline design, and architectural trade-offs.

What we're looking for

4 or more years of experience in data engineering, software engineering, or similar technical roles with strong data focus
Advanced proficiency in Python and SQL, with ability to design efficient data transformations and workflows
Experience designing and implementing large-scale ETL pipelines and working with event-driven architectures (e.g., Kafka, Event Hub)
Strong knowledge of data warehousing concepts, dimensional modeling, and modern data architectures (e.g., data lakes, lake houses)
Hands-on experience with Data Services (e.g., Data Factory, Databricks, Synapse, Azure Functions)
Extensive experience working with a major cloud platform (preferably Azure), including data architecture and platform design considerations
Solid understanding of DevOps principles, version control (e.g., Git), and CI/CD practices for data systems
Ability to balance technical execution with operational ownership, including working independently and prioritizing effectively during on-call weeks

Bonus points

Exposure to metadata management, observability tooling, and data lineage best practices
Familiarity with data governance and compliance frameworks (e.g., SOX, GDPR)
Demonstrated ability to mentor junior engineers or lead small projects
Experience delivering data products that align with business objectives and enable decision-making
Comfortable working in Agile teams and iterating quickly with cross-functional partners
Experience with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for provisioning cloud infrastructure

About AvidXchange

AvidXchange is a leading provider of accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers. By trade, we are a technology company, but if you ask anyone who works here, they’ll tell you our people are at the core of who we are. We focus on creating a culture of Diversity, Inclusion & Belonging, and are proud to be a safe place where teammates can bring their whole selves to work. At AvidXchange, mindset is everything. We are Connected as People, Growth Minded, and Customer Obsessed. These three mindsets represent our culture – who we are, who we’ve always been, and they guide us to improve every day. Since our founding in 2000 in Charlotte, NC, we’ve created a company of over 1,600 teammates working across the U.S., or remotely. AvidXchange is proud to be Certified™ as a Great Place to Work®. The prestigious recognition is based on anonymous data from our teammates and makes official what our teammates have known for years – that AvidXchange is a Great Place to Work®.

Who you are:

A go-getter with an entrepreneurial mindset – that means you are not afraid of taking risks, winning big or facing the unknown.
Someone who understands that business is people centric. Connecting with others as humans first allows you to develop mutually beneficial working relationships.
Focused on making a difference for our customers. AvidXchange exists to help solve complex problems for our customers so we can all realize our potential.

What you’ll get:

AvidXchange teammates (we call them AvidXers) get the perks and prestige of a publicly traded tech company paired with the flexibility of a founder-led startup. We help our AvidXers develop as professionals and as human beings, providing work/life balance, development programs, competitive benefits and equity options. At AvidXchange, we are building more than a tech company – we are building an experience. We remain committed to a culture where you can fully be 'you’ – connected with others, chasing big goals, and making a meaningful impact. If you want to help us grow while realizing your potential and creating stories you’ll tell for years, you’ve come to the right place.

AvidXers enjoy:

18 days PTO*
11 Holidays (8 company recognized & 3 floating holidays)
16 hours per year of paid Volunteer Time Off (VTO)
Competitive Healthcare

High Deductible Heath Plan Option that has $0 monthly premium for teammate-only coverage
100% AvidXchange paid Dental Base Plan Coverage
100% AvidXchange paid Life Insurance
100% AvidXchange paid Long-Term Disability
100% AvidXchange paid Short-Term Disability
Employee Assistance Program (EAP) - Provides counseling services, legal and financial consultations and health advocacy for Teammates and their eligible dependents
Onsite Health Clinic with Atrium Health - available to Teammates and their eligible dependents

401(k) Match: 100% match on the first 3% of your salary, plus 50% match on the next 2%
Parental Leave: 8 weeks 100% paid by AvidXchange**
Discounts on Pet, Home, and Auto insurance
BrightDime Financial Wellness Tool, offered free to teammates
WeeCare Childcare Service: helps teammates find affordable daycare, childcare, and tutors 40% less expensive than traditional daycare centers
Perks at Work: free discount program that provides teammates the opportunity to save on items from electronics, movie tickets, car buying, vacations, and more
Onsite gym fitness center, yoga studio, and basketball court
Tuition Reimbursement up to the federal maximum of $5,250***
Hybrid Workplace Flexibility
Free parking

*Fully granted from beginning of year, pro-rated if hired mid-year

**Must be full-time for at least 3 months

***Must be full-time for at least one year

Equal Employment Opportunity

AvidXchange is an equal opportunity employer. AvidXchange is committed to equal employment opportunity in accordance with applicable federal, state, and local laws. AvidXchange will not discriminate against applicants for employment on any legally recognized basis. This includes, but is not limited to veteran status, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age and physical or mental disability.

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We are seeking a highly skilled and experienced Senior Data Engineer to lead the end-to-end development of complex models for compliance and supervision. The ideal candidate will have deep expertise in cloud-based infrastructure, ETL pipeline development, and financial domains, with a strong focus on creating robust, scalable, and efficient solutions.

Key Responsibilities:

• Model Development: Lead the development of advanced models using AWS services such as EMR, Glue, and Glue Notebooks.

• Cloud Infrastructure: Design, build, and optimize scalable cloud infrastructure solutions with a minimum of 5 years of experience.

• ETL Pipeline Development: Create, manage, and optimize ETL pipelines using PySpark for large-scale data processing.

• CI/CD Implementation: Build and maintain CI/CD pipelines for deploying and maintaining cloud-based applications.

• Data Analysis: Perform detailed data analysis and deliver actionable insights to stakeholders.

• Collaboration: Work closely with cross-functional teams to understand requirements, present solutions, and ensure alignment with business goals.

• Agile Methodology: Operate effectively in agile or hybrid agile environments, delivering high-quality results within tight deadlines.

• Framework Development: Enhance and expand existing frameworks and capabilities to support evolving business needs.

• Documentation and Communication: Create clear documentation and present technical solutions to both technical and non-technical audiences.

Requirements

• 10+ years of experience with Python programming.

• 5+ years of experience in cloud infrastructure, particularly AWS.

• 3+ years of experience with PySpark, including usage with EMR or Glue Notebooks.

• 3+ years of experience with Apache Airflow for workflow orchestration.

• Solid experience with data analysis in fast-paced environments.

Domain Expertise:

• Strong understanding of capital markets, financial systems, or prior experience in the financial domain is a must.

Technical Skills:

• Proficiency with cloud-native technologies and frameworks.

• Familiarity with CI/CD practices and tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.

• Experience with notebooks (e.g., Jupyter, Glue Notebooks) for interactive development.

Soft Skills:

• Excellent problem-solving skills and ability to handle complex technical challenges.

• Strong communication and interpersonal skills for collaboration across teams and presenting solutions to diverse audiences.

• Ability to thrive in a fast-paced, dynamic environment.

Preferred Qualifications:

• Experience with data governance and compliance frameworks.

• Familiarity with machine learning frameworks and techniques for financial modeling.

• Certifications in AWS or other cloud technologies.

Benefits

• Competitive compensation and benefits.

• Opportunity to work on cutting-edge compliance and supervision technologies.

• Collaborative and innovative work environment.

","hiringOrganization":{"@type":"Organization","name":"DATAECONOMY","sameAs":"https://www.dataeconomy.io/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tampa, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-20","description":"

About Calo

Role Overview

Main Responsibilities

Design, build, and improve the infrastructure for ingesting, storing, and transforming data
Design, build, and enhance dimensional models for Data Warehouse and BI solutions
Work with other departments and support them with their data initiatives
Document new and existing models, solutions, and implementations

Ideal Candidate

Qualifications

5+ years of hands-on professional experience in data engineering-related roles
Experience in building and maintaining data platforms from scratch
Experience with AWS (Redshift, Glue, Lambda, S3, Kinesis, Athena)
Experience with BI solutions
Advanced skills with Python and SQL
AI experience is a plus

Personality

Strong communicator
Pleasant personality and able to lead with empathy and patience

","hiringOrganization":{"@type":"Organization","name":"Calo","sameAs":"https://calo.app"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bahrain - Remote","addressCountry":"Bahrain","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-20","description":"ABOUT APPLY DIGITAL
Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernize their organizations and maximize value for their business and customers.
Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.
Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to ten cities across North America, South America, the UK, Europe, and India.
At Apply Digital, we believe in the “One Team” approach, where we operate within a ‘pod’ structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well-oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes.
Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE (smart, humble, active, positive, and excellent) values and make Apply Digital a space for our team to connect, grow, and support each other to make a difference.
Visit our Careers page to learn how we can unlock your potential.
LOCATION: Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) the Delhi/NCR region of India, working in hours that have an overlap with the Eastern Standard Timezone (EST).
ABOUT THE CLIENT
In your initial role, you will support Kraft Heinz, a global, multi-billion-dollar leader in consumer packaged foods and a valued client of ours for the past three years. Apply Digital has a bold and comprehensive mandate to drive Kraft Heinz’s digital transformation. Through implementable strategies, cutting-edge technology, and data-driven innovation we aim to enhance consumer engagement and maximize business value for Kraft Heinz.
Our composable architecture, modern engineering practices, and deep expertise in AI, cloud computing, and customer data solutions have enabled game-changing digital experiences. Our cross-functional team has delivered significant milestones, including the launch of the What's Cooking App, the re-building of 120+ brand sites in over 20 languages, and most recently, the implementation of a robust Customer Data Platform (CDP) designed to drive media effectiveness. Our work has also been recognized internationally and has received multiple awards.
While your work will start with supporting Kraft Heinz, you will also have future opportunities to collaborate with the global team on other international brands.
THE ROLE:
Are you passionate about building scalable data pipelines and optimizing data architectures? Do you thrive in a fast-paced environment where data-driven decision-making and real-time analytics are essential? Are you excited to collaborate with cross-functional teams to design and implement modern cloud-based data solutions? If so, you may be ready to take on the Senior Data Engineer role within our team.
As a Senior Data Engineer, you will play a key role in designing, building, and maintaining cloud-native data pipelines and architectures to support our Composable digital platforms. You will collaborate with engineers, product teams, and analytics stakeholders to develop scalable, secure, and high-performance data solutions that power real-time analytics, reporting, and machine learning workloads.
This role requires deep expertise in data engineering, cloud technologies (Google Cloud Platform - BigQuery, Lookers preferred), SQL, Python, and data pipeline orchestration tools (Dagster and DBT).\n

WHAT YOU'LL DO:

Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
Oversee the end-to-end management of the CDP platform, ensuring seamless integration across websites, mobile apps, CRM, adtech, and analytics systems to maintain data integrity and maximize activation potential.
Collaborate with marketing, product, and data teams to enable real-time data activation and personalized customer experiences using unified CDP profiles.
Build and maintain robust event instrumentation frameworks across digital properties to ensure accurate and consistent data capture for CDP ingestion and downstream use.
Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
Collaborate with analytics teams to define scalable data models, maintain robust documentation (data dictionaries, lineage, metadata), and continuously monitor and optimize pipelines while staying current with evolving data engineering best practices.

WHAT WE'RE LOOKING FOR:

Strong proficiency in English (written and verbal communication) is required.Experience working with remote teams across North America and Latin America, ensuring smooth collaboration across time zones.
5+ years of experience in data engineering, with expertise in building scalable data pipelines and cloud-native data architectures.
Proven hands-on experience implementing and managing CDPs like Twilio Segment (or similar CDPs), including event tracking plans, source/destination configuration, and identity resolution strategies.
Deep understanding of MarTech ecosystems and how CDP data integrates with advertising platforms (Meta, Google Ads), CRM tools, and experimentation platforms for personalization and performance measurement.
Strong proficiency in SQL for data modeling, transformation, and performance optimization.
Experience with BI and data visualization tools (e.g., Looker, Tableau, or Google Data Studio).Expertise in Python for data processing, automation, and pipeline development.
Extensive experience with cloud data platforms, especially Google Cloud (BigQuery, Cloud Storage, Pub/Sub), including hands-on implementation of ETL/ELT workflows using tools like DBT, Dataflow, or Apache Beam, and orchestration with Airflow, Dagster, or Cloud Workflows.
Understanding of data privacy, security, and compliance best practices.Strong problem-solving skills, with the ability to debug and optimize complex data workflows.Excellent communication and collaboration skills.

NICE TO HAVES:

Experience with real-time data streaming solutions (e.g., Kafka, Pub/Sub, or Kinesis).
Familiarity with machine learning workflows and MLOps best practices.
Knowledge of Terraform for Infrastructure as Code (IaC) in data environments.
Familiarity with data integrations involving Contentful, Algolia, Segment, and Talon.One.

LIFE AT APPLY DIGITAL
At Apply Digital, people are at the core of everything we do. We value your time, safety, and health, and strive to build a work community that can help you thrive and grow. Here are a few benefits we offer to support you:
Location: Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) Delhi/NCR, with the ability to overlap with the US/NA times zones when required.Comprehensive Benefits: benefit from private healthcare coverage, contributions to your Provident fund, and a gratuity bonus after five years of service. Vacation policy: work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.Great projects: broaden your skills on a range of engaging projects with international brands that have a global impact.An inclusive and safe environment: we’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.Learning opportunities: we offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.
Apply Digital is committed to building a culture where differences are celebrated, and everyone feels welcome. That’s why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued.
For more information, visit our website’s Diversity, Equity, and Inclusion (DEI) page. If you have special needs or accommodations at this stage of the recruitment process, please inform us as soon as possible by emailing us at careers@applydigital.com.","hiringOrganization":{"@type":"Organization","name":"Apply Digital","sameAs":"https://www.applydigital.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Delhi NCR","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-20","description":"

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe.

We are looking for a skilled Senior Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and managing scalable data pipelines and infrastructure, with a focus on AWS cloud services. You will collaborate with cross-functional teams to support data-driven applications and analytics, ensuring efficient data flow and accessibility. The ideal candidate will thrive in an Agile project management setting and possess a strong background in data management and processing. The position is in Herndon, VA.

Responsibilities:

Design and implement robust data pipelines and ETL processes to ingest, transform, and load data from diverse sources into data warehouses
Develop and maintain data models and schemas to support analytics and reporting needs
Collaborate with software engineers, data scientists, and analysts to integrate data solutions into applications and workflows
Optimize data storage and retrieval for performance and scalability
Ensure data quality and integrity through validation, testing, and monitoring
Implement data security and compliance measures in accordance with organizational policies
Utilize AWS services such as S3 and RDS for data storage and processing
Develop APIs and interfaces to facilitate data access and integration
Participate in Agile development processes, contributing to sprint planning and reviews
Document data engineering processes, architectures, and best practices

Requirements:

5+ years of experience in data engineering, software development, or related fields.
Strong experience with SQL and relational databases, particularly PostgreSQL
Expertise with SQL scripting, database indexing, and optimization techniques
Proficient in working with views, triggers, and stored procedures
Experience in developing, creating, and modifying data structures and load routines for business use
Hands-on experience with AWS data services (e.g., S3, RDS, Glue, Redshift)
Familiarity with data modeling, ETL development, and data warehousing concepts
Experience with API development and integration
Knowledge of data security and compliance standards
Ability to work collaboratively in a team environment and communicate effectively with stakeholders
US Citizenship and an active TS/SCI with Polygraph security clearance required

Desired Experience:

Experience with AWS Cloud Data Migration Services
Familiarity with Jira for project tracking and management
Familiarity with containerization and orchestration tools like Docker and Kubernetes
Knowledge of infrastructure-as-code tools such as Terraform or CloudFormation
Experience with data visualization tools like Power BI or Tableau
AWS certifications related to data engineering or architecture

Do you know anyone for this position, or other positions open at The Swift Group? We offer a $5,000 bonus for any referral candidate we hire, paid out at the new hire’s 90-day mark.

#LI-DI1

#Onsite

The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

Pay Range: $49,996.80 - $290,004.00

Pay ranges are a general guideline and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates.

At The Swift Group and Subsidiaries, you will receive comprehensive benefits including but not limited to: healthcare, wellness, financial, retirement, education, and time off benefits.

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Company Overview

Founded in 2014, and listed on the ASX since 2015, Superloop’s purpose is to enable better internet for Australian homes and businesses, by enabling challenger retail brands to take a larger share of the market, leveraging Superloop’s Infrastructure-on-Demand platform.

Superloop operates in three segments of the market: consumer connectivity, business network and security solutions, and wholesale connectivity, all of which leverage Superloop’s investments in physical infrastructure assets including fibre, subsea cables and fixed wireless, as well as Superloop’s software platforms. Hundreds of thousands of homes and businesses rely on Superloop every day for their connectivity needs.

Visit www.superloop.com to learn more.

Business Unit Overview

The Strategy and Transformation team develop strategies and implement tools, systems and processes to drive long-lasting business value and performance for Superloop. There are five key pillars to the Strategy and Transformation team including:
data and analytics; strategy; transformation; PMO; and mergers and acquisitions. If you have a passion for making significant change and solving complex challenges in the telecommunications industry, come join our team at Superloop.

Role Purpose and Accountabilities

The Data and Analytics team is in the process of setting up its central data repository (Data Warehouse) and is looking for an experienced Data Engineer. In this role, you will play a crucial part in maintaining our data warehouse, including assisting with its initial setup and ongoing management of ETL processes and the integration of new data sources. In particular, the role will be accountable for

Be a conduit between analysts and system developers, collaborate with cross-functional teams to understand data requirements and design efficient data warehouse solutions.
Build and maintain data pipelines, ETL processes, and data ingestion workflows to ensure data accuracy, completeness, and reliability.

Perform data profiling, cleansing, and transformation to prepare data for analytics and reporting.

Monitor and optimize the performance of the data warehouse, addressing any issues or bottlenecks as they arise.

Ensure data security, compliance, and governance standards are met, including data encryption, access controls, and audit trails.

Collaborate with Data Analysts to support their analytical needs by providing clean and well-structured data.

Stay up to date with industry best practices and emerging technologies to continuously improve data engineering processes.

Qualifications and Experience

Bachelor's degree in Software Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience).

Proven experience as a Data Engineer or as a, Software Engineer, with a strong focus on data warehousing and ETL processes.

Proficiency with SQL.

Proficiency in data warehousing and data processing.

Strong SQL skills for data querying, manipulation, and optimization.

Proficiency in Python for scripting and automation of data processes.

Experience working with Data Lakehouse technologies and platforms.

Experience working with large volumes of data and complex data models.

Knowledge of data integration techniques and tools.

Proficiency in data orchestration concepts and tools.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills to work effectively with cross-functional teams.

Experience with telecom industry preferred.

Experience with AWS Redshift and Apache Sparks will be an added advantage.

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Job Description

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as Senior Data Engineer at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. In this role, you will be responsible for development, code reviews, unit testing and implementation of data-related projects using AWS ETL Tools. You will convert business requirements into technical artifacts and contribute to the design, development, and enhancement as per the application roadmap.

To be successful as a Senior Data Engineer, you should have the following skills:

• Expertise in using SQL and Python for complex ETL pipelines

• Strong experience with AWS services, preferably S3, Lambda, Glue, Redshift, etc. for ETL solutions, or experience with Azure/GCP

• Knowledge of Databricks, Snowflake, PySpark, and DBT

• Knowledge or experience in relevant big data technologies

Some other highly valued skills may include:

• Experience in migrating ETL pipelines from on-premises systems to the cloud

• Knowledge of CI/CD pipelines and agile methodologies

• Previous experience with people leadership

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

The successful candidate will work from Prague.

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About SignalFire

SignalFire is the first VC firm built like a technology company to better serve the needs of founders as they build and scale their startups. With approximately $3B in assets under management, SignalFire invests in applied AI companies from pre-seed to Series B in key sectors, including healthcare, cybersecurity, infrastructure, consumer, and other enterprise verticals.

The firm’s Beacon AI platform tracks over 650M employees and 80M organizations, giving the firm an unmatched data advantage in identifying and supporting world-class startups. Its sector-focused investors and a dedicated team of seasoned operators drive SignalFire at startup speed. They provide support across a company’s full lifecycle through data and resources tailored by growth stage, plus a diverse ecosystem of partners and customers. Notable investments include Frame.io, Grammarly, Grow Therapy, EvenUp, and Stampli.

Learn more at www.signalfire.com

Role Description

Signalfire is looking for an exceptional engineer who is passionate about building robust data infrastructure that powers complex analytical workflows, machine learning processes, and data-intensive web application. As our data engineer, you will work closely with our investment, portfolio, talent team, and the rest of our engineering organization to build best-in-class tools that help us explore potential investment areas and support our portfolio companies.

What you’ll be doing:

Building industry-standard backend architecture and data pipelines for our AI platform, Beacon which helps our firm invest in the best startups in the market
Procuring and evaluating potential new data sources in service of identifying, diligencing, and supporting startups
Build and maintain scalable, maintainable data transformation pipelines using Python, Spark, dbt, apache/airflow to power the whole company's data science and analytics needs
Stand up new low-latency data processing infrastructure to provide clean data to machine learning models
Improve workflow orchestration and automation processes for existing systems

Your background:

2 to 6 years of experience working as a data engineer
- A solid conceptual grasp (and preferably hands-on experience with) orchestration frameworks like Airflow, Dagster, Prefect, or similar
- Experience with ETL, data processing, pipelining, and sanitizing
- Experience working on complex data pipelines using SQL, Redshift, Python, dbt
- Experience building backend infrastructure and architecture required to power frontend features
- Understanding of data modeling strategies for both transactional and data warehousing workloads
Exceptional problem solving, analysis, decomposition, and communication skills applied within an agile development environment
BS/MS in statistics, computer science, economics, or a similarly quantitative field
Takes pride working on large projects from scratch to completion
San Francisco Bay Area or New York based

Why SignalFire?

In addition to working directly with our team at the forefront of a hybrid human + technology investment approach, you’ll also work closely with founders to help them solve major problems.

Our culture is one that breeds creativity and impact and puts you in control of your own destiny.

End-to-end ownership: Engineers at SignalFire own the full stack—from data acquisition and model development to infrastructure and product delivery. This extends beyond code; you'll work directly with the investment team, gaining insight into how your work shapes strategic decisions.
Empowered decision-making: We’ve cut the bureaucracy of big companies but kept their resources. Have a strong idea? Pitch it. You’ll get budget and ownership. We move like a startup but execute with the discipline of a mature company.
Versatile technical expertise: We value engineers who blend startup agility with enterprise depth. You'll wear many hats—tuning infrastructure one day, refining algorithms or designing features the next—building a skillset rarely found elsewhere.
Creative autonomy: At SignalFire, creativity isn’t just valued—it’s essential. We tackle problems without clear precedents, where sharp judgment and innovation matter more than technical orthodoxy. Success means balancing analytical rigor with a bias to ship, learn, and iterate.

You can read more about life on the engineering team here: https://www.signalfire.com/blog/engineering-at-the-heart-of-venture-capital

Compensation

USD 170k-270k base salary/year based on experience + Carried Interest

Does this sound like you? If so, we'd love to hear from you!

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Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions.

What You’ll Do

Design, build, and manage robust data pipelines and data architectures.
Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
Optimize data workflows, ensuring reliability, scalability, and performance.
Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
Ensure data security and compliance with industry standards and best practices.
Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
4+ years of professional experience as a Data Engineer or similar role.
Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
Hands-on experience with data pipeline tools, cloud services, and storage solutions.
Strong programming skills in SQL, Python, or related languages.
Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
Excellent analytical, troubleshooting, and problem-solving skills.
Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

Certifications related to Azure Data Engineering, Databricks, or Snowflake.
Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

Comprehensive Health & Wellness Benefits Package
Retirement Planning
Parental Leave Program
Annual tech & travel allowance
Flexible Working Hours
Work from Home Flexibility
Service Recognition Programs
Socials, Outings & Retreats
Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

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Job BriefMoneybox is growing rapidly, and our technical and data teams are no exception. We have more users, more accounts, more money invested, more features, more systems, more code, more data and more teams than ever before. We’re looking for a Senior Data Engineer who can maintain and improve our existing data infrastructure, while continuing to build out our abilities, as well as contribute expertise across the board. In this unique role, you’ll be the interface between the backend and insight teams, collating, ingesting and organising data to drive action and results.\n

What You’ll Do

As a Senior Data Engineer at Moneybox, you will play a critical role in building and maintaining the data infrastructure that powers our business. You'll be responsible for designing and implementing robust data pipelines and integrations, ensuring the seamless and accurate flow of data between our systems. A core focus of this role is to guarantee data integrity and reliability, especially as we scale and integrate new tools. This role will be responsible for but not limited to:

Own, maintain, and improve our data processing and analytical platforms to ensure resiliency.
Act as a best practice resource for optimization and performance for the Insight and Backend teams.
Build and maintain new integrations to ingest and integrate new sources of data.
Work with Backend and Insight teams to build and maintain a reliable, meaningful, and accurate core data catalogue which stays up-to-date as our products grow and change.
Work with tech teams and Compliance to ensure that analytical data and supporting platforms are secure, appropriately restricted, and comply with policy.
Stay up-to-date with industry trends and help insight and tech teams understand where new technology could pragmatically deliver value .
Manage and monitor the cost, efficiency, and speed of data processing.

Our Data Tech Stack

Azure Cloud (SQL Server, Databricks, Cosmos DB, Blob Storage)
ETL/ELT (Python, Spark, SQL)
Messaging (Service Bus, Event Hub)
DevOps (Azure DevOps, Github Actions, Terraform)

Who you are

A driven, ambitious individual who’s looking to build their career at an exciting fast-growing company.
An independent worker who is able to proactively gather and reconcile priorities and requirements from multiple stakeholders.
Someone with a curious mindset who is motivated by improving processes and organising information in practical ways.
Naturally personable, great communicator who has a passion for their work and the people they work with.
Excited about being part of a fast-growing company that’s trying to make a positive mark on the world.

Essential skills

Designing, building and maintaining robust and scalable data pipelines
Proficiency in ELT and ETL processes and tools
Ability to write efficient code for data extraction, transformation, and loading (eg. Python, Spark and SQL)
Proficiency with cloud platforms (particularly Azure Databricks and SQL Server)
Ability to work independently
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences

Desirable skills

NoSQL databases (eg. Cosmos DB, DynamoDB, MongoDB)
Message queues and event streaming platforms (e.g. Service Bus, Event Hub)
Infrastructure-as-code (eg. Terraform)
Knowledge of API design principles (REST APIs), authentication, and security

Our Commitment to DE&IAt Moneybox, we promote, support and celebrate inclusion, diversity and equity for all, so that everyone can bring their full selves to work. We believe that diversity drives innovation, and that if our team is representative of our community of customers, we can better support their needs. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. We are open-minded and always willing to go the extra mile to ensure all applicants can present their full self and potential
Working Policy:We have a hybrid policy that includes 2 days from our London office and 3 from home. If the role states it is either hybrid or remote candidates must be based within the UK.
Visa Sponsorship:At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications.
Please read before you apply!Please note if offered a position, the offer is conditional and subject to the receipt of satisfactory pre-employment checks which we will conduct such as criminal record and adverse credit history checks. As a regulated financial business, an adverse financial history could impact your suitability for the role. If you are aware of anything that could affect your suitability for the role, please let us know in advance. By sending us your application you acknowledge and agree to Moneybox using your personal data as described below.
We collect applicants’ personal data to manage our recruitment related activities. Consequently, we may use your personal data to evaluate your application, to select and shortlist applicants, to set up and conduct interviews and tests, to evaluate and assess the results, and as is otherwise needed in the recruitment process generally.We do not share your personal data with unauthorised third parties. However, we may, if necessary, share your personal data to carefully selected third parties acting on our behalf. This may include transfers to servers and databases outside the country where you provided us with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America.If you are unsuccessful in your application, we may keep your details on file so that we can tell you about other suitable vacancies which may be of interest to you when they arise in the future. If you would rather we did not keep your details on file, you can contact us at email: DPO@moneyboxapp.com
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As a Data Engineer at GoodHabitz, you’ll be part of an exciting journey as we continue our migration to AWS, enhancing and modernizing our data infrastructure to support a rapidly growing business. In our scale-up environment, adaptability and problem-solving are key. This role is instrumental in designing, building, and optimizing scalable, cloud-native data architectures that meet evolving business and analytical needs.

You’ll collaborate with cross-functional teams to implement robust, efficient data pipelines and help shape a high-performing data platform centered around Databricks on AWS, Unity Catalog, Delta Live Tables, and other related services. If you're eager to make a real impact and contribute to a forward-thinking data engineering culture, we’d love to hear from you.

Key Responsibilities:

· Data Architecture & Design: Design scalable, high-performance data architectures leveraging AWS native services, Databricks (Unity Catalog, Delta Live Tables, Delta Lake), and modern best practices.

· Pipeline Development: Build and maintain efficient, production-grade ETL/ELT pipelines using Databricks (PySpark, SQL), with a strong focus on data quality, lineage, and maintainability.

· Cloud Infrastructure: Combine open-source technologies with AWS and Databricks services to create optimized and automated data workflows.

· Data Governance & Quality: Implement best practices for data governance, including lineage tracking, quality checks, and access control using Unity Catalog and related tools.

· Automation & CI/CD: Implement deployment automation and pipeline monitoring using Terraform for infrastructure-as-code and GitLab for version control and CI/CD workflows.

· Performance Optimization: Optimize data processing performance using techniques such as data partitioning, indexing, caching, and efficient storage formats.

· Collaboration & Mentoring: Work closely with data analysts, software engineers, and other stakeholders to gather requirements and deliver solutions. Mentor junior team members and promote engineering best practices.

Requirements

5+ years of experience in data engineering, including strong exposure to cloud-native architectures and modern data platforms.
Deep understanding of ETL processes, data modeling, data warehousing, and Medallion architecture.
Hands-on experience with Databricks on AWS, including Unity Catalog, Delta Live Tables, and related tools.
Proficiency in Python, PySpark, and SQL for large-scale data processing and transformation.
Experience with infrastructure-as-code tools, especially Terraform (bonus if you’ve worked with AWS-native provisioning and configuration tools).
Experience working with GitLab for version control, repository management, and CI/CD workflows.
Strong knowledge of SQL performance tuning, query optimization, and handling large datasets efficiently.
Comfortable working with orchestration tools such as Apache Airflow, AWS Step Functions, or similar.

Nice to Have:

Experience with containerization and serverless frameworks (e.g., Docker, Kubernetes, AWS Lambda).
Familiarity with monitoring/observability tools such as Prometheus, Grafana, AWS CloudWatch, or Databricks-native logging/monitoring.
Exposure to data security best practices and compliance in cloud environments.

Benefits

Here's a glimpse of what's waiting for you:  

A competitive salary package that rewards your hard work. 
25 paid vacation days. And if that's not enough, you can purchase up to 10 more. 
A world of growth and development opportunities to enhance your skills. You'll have unlimited access to our treasure trove of GoodHabitz resources and MyAcademy . 
Access to mental coaching through our partner, OpenUp, to keep your mind in top shape. 
An annual do-good-day, fully paid, so you can contribute to a cause you're passionate about.  
Travel and expense reimbursement because we've got your journey covered.  
Pension and disability insurance, securing your financial well-being in the long run.  
A hybrid way of working .  
Working in a company that welcomes artificial intelligence and uses it to improve internal processes and push AI-powered features quickly . 
A company laptop.

","hiringOrganization":{"@type":"Organization","name":"GoodHabitz","sameAs":"https://careers.goodhabitz.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eindhoven, North Brabant, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":50,"item":{"@type":"JobPosting","title":"Senior Data Engineer","datePosted":"2025-07-21","description":"

Employee Applicant Privacy Notice

Who we are:

\n\n

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

Team:

SoFi is seeking an experienced and motivated Senior Data Engineer to drive high standard technical solutions for the Data Products team within the SIPS (Spend, Invest, Protect, Save) division - supporting all SoFi Financial Services. The mission of the SIPS Data Engineering team is to support Data Engineering and reporting for SoFi’s Financial Services products. As a technical leader you will lead the vision and strategy to build foundational and critical data models which are highly leveraged across SoFi for analytical, reporting, and machine learning use-cases. Our goal is to empower consumers to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data.

Role:

A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. Leads development of some of the most critical data pipelines and data sets, and expands self-service data knowledge and capabilities. This role requires you to live at the cross section of data and engineering. You should have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines.

What you’ll do:

Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure.
Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically.
Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders.
Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically,
Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls.

What you’ll need:

A bachelor's degree in Computer Science, Data Science, Engineering, or a related field;
5+ years of experience in data engineering and analytics technical strategy.
Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others..
Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP
Strong in Python and/or another data centric language.
Thorough knowledge of data modeling, database design, data architecture principles, and data operations.
Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.
Experience in the Fintech industry is advantageous.

Compensation and Benefits\nThe base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. \n \nTo view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!\n

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

The Company hires the best qualified candidate for the job, without regard to protected characteristics.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

New York applicants: Notice of Employee Rights

SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.

Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

\nInternal Employees\nIf you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.","hiringOrganization":{"@type":"Organization","name":"SoFi","sameAs":"https://www.sofi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"TX - Frisco","addressCountry":"United States","addressRegion":"North America"}}}}]}

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