Data Engineer (Senior/Lead) ID41785
AgileEngine.com
Office
Querétaro, Mexico
Full Time
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
As a Senior/Lead Data Engineer, you will shape the data foundations that drive advanced analytics and empower millions of people to find jobs worldwide. In this role, you’ll influence large-scale data strategy, work with global teams, and contribute to impactful solutions in a collaborative and innovative culture. With challenging projects, growth opportunities, and a strong engineering community, this is a chance to lead and make a real difference in the data engineering space.
WHAT YOU WILL DO
- Build consolidated data foundations and dashboards to support workforce analytics;
- Develop single sources of truth for business data, ensuring data accuracy and consistency;
- Implement and optimize data pipelines, dashboards, and analytics platforms;
- Enable advanced analytics and data science use cases, including anomaly detection, recommendation systems, and predictive analytics.
MUST HAVES
- 5+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred);
- 5+ years of experience in Python;
- 5+ years of experience in workflow orchestration and building end-to-end data pipelines (Airflow, GitHub, etc.);
- 5+ years of experience in strong data modeling, data warehousing, and ETL/ELT frameworks (foundational design for long-term data usage);
- 5+ years of experience in data monitoring and troubleshooting preferred;
- Upper-Intermediate English level.
NICE TO HAVES
- Strong PMO background;
- Self-starter with a strong ability to guide/lead self and/or team on projects;
- Ability to strategize and lead complex data analysis, working with business leaders and cross-functional teams to understand and match their strategic and operational needs;
- Exceptional ability to distill complex data into clear, concise, and actionable recommendations for both technical and non-technical stakeholders, including senior management (CEO, VP, SVP).
PERKS AND BENEFITS
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
As a Senior/Lead Data Engineer, you will shape the data foundations that drive advanced analytics and empower millions of people to find jobs worldwide. In this role, you’ll influence large-scale data strategy, work with global teams, and contribute to impactful solutions in a collaborative and innovative culture. With challenging projects, growth opportunities, and a strong engineering community, this is a chance to lead and make a real difference in the data engineering space.
WHAT YOU WILL DO
- Build consolidated data foundations and dashboards to support workforce analytics;
- Develop single sources of truth for business data, ensuring data accuracy and consistency;
- Implement and optimize data pipelines, dashboards, and analytics platforms;
- Enable advanced analytics and data science use cases, including anomaly detection, recommendation systems, and predictive analytics.
MUST HAVES
- 5+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred);
- 5+ years of experience in Python;
- 5+ years of experience in workflow orchestration and building end-to-end data pipelines (Airflow, GitHub, etc.);
- 5+ years of experience in strong data modeling, data warehousing, and ETL/ELT frameworks (foundational design for long-term data usage);
- 5+ years of experience in data monitoring and troubleshooting preferred;
- Upper-Intermediate English level.
NICE TO HAVES
- Strong PMO background;
- Self-starter with a strong ability to guide/lead self and/or team on projects;
- Ability to strategize and lead complex data analysis, working with business leaders and cross-functional teams to understand and match their strategic and operational needs;
- Exceptional ability to distill complex data into clear, concise, and actionable recommendations for both technical and non-technical stakeholders, including senior management (CEO, VP, SVP).
PERKS AND BENEFITS
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Data Engineer (Senior/Lead) ID41785
Office
Querétaro, Mexico
Full Time
September 23, 2025