Data Engineer, Google Customer Solutions

Minimum Qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience coding with one or more programming languages (e.g., Python, Java, C/C++).
• 3 years of experience designing data pipelines (ETL) and model data, for synch and asynch system integration and implementation.
• 3 years of experience analyzing data, database query (e.g., SQL), and creating dashboards/reports.

Preferred Qualifications:

• Master’s degree in Engineering or Computer Science or related field, or equivalent practical experience.
• Experience working in a data science environment, creating feature stores and supporting feature engineering and model automation needs.
• Experience working with cloud platforms, big data tools and distributed computing.
• Experience with creation and usage of graph and other non-relational databases.
• Ability to easily break down ambiguous problems and propose impactful data modeling designs.
• Ability to analyze data sets and convert them into information that drives business decisions.

About The Job

Google Customer Solutions (GCS) Data Science is harnessing the power of machine learning and artificial intelligence to build solutions that enable Small and Medium Businesses Ads Sales teams (Google Customer Solutions) to grow smarter and faster. AI-driven tools and systems can help automate repetitive tasks, improve decision-making processes, and unlock valuable insights from large volumes of data. We are Embracing Artificial Intelligence as a cornerstone for growth which will empower GCS to grow in an increasingly engaged market and unlock new opportunities for success.
As a Data Engineer, you will take on big data issues in an agile way. In this role, you will use an investigative, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines and tools that enable data scientists, Machine Learning Operations engineers, and analysts. Through feature engineering and wrangling, you'd create automated data extracts and production ready Machine Learning feeds that provide scaled insights for both the data science team and their users.Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
The US base salary range for this full-time position is $124,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
As a Data Engineer, you will take on big data issues in an agile way. In this role, you will use an investigative, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines and tools that enable data scientists, Machine Learning Operations engineers, and analysts. Through feature engineering and wrangling, you'd create automated data extracts and production ready Machine Learning feeds that provide scaled insights for both the data science team and their users.
The US base salary range for this full-time position is $124,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Build data pipelines, reports, best practices and frameworks that enable program managers, analysts and other stakeholders across the organization.
• Recognize and adopt best practices in developing pipelines, investigative insights including data integrity, test design, analysis, validation and documentation.
• Design and develop scalable and actionable solutions (e.g., dashboards, automated collateral, web applications) that tell a story and provide insights to help our advertisers grow.
• Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers.