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

We are looking for a Senior Data Engineer to replace a third-party data ingestion tool with an owned ETL pipeline.

MUST HAVES

- 4+ years of strong SQL and large-scale data ingestion/pipeline experience (batch ETL, orchestration, schema design).
- Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment.
- Practical experience with Claude Code or similar tools, and agents or MCP in real work.
- Ability to contribute to application and backend work beyond pure ETL to support broader platform needs.
- Familiarity with, or ability to quickly evaluate, managed ELT tools (such as Fivetran) against custom builds.
- Ability to ramp into existing attribution and scoring logic so ingestion output aligns with downstream dashboard needs.
- Upper-intermediate English level.

NICE TO HAVES

- Direct or adjacent experience with digital advertising / DSP data (e.g., Amazon DSP, Amazon Advertising API, or comparable programmatic platforms).
- Experience replacing legacy third-party data pipelines with owned,



custom infrastructure.
- Familiarity with MLOps pipelines and how data feeds predictive models.
- Experience working alongside part-time technical advisory leads to validate architecture decisions.

WHAT YOU WILL DO

- Document current ingestion logic inside the legacy tool, including sources, endpoints, schemas, and transformation logic.
- Build the ETL pipeline to replace the legacy system, handling ingestion from the Amazon API, other DSP platforms, and related digital data sources.
- Evaluate and decide between off-the-shelf solutions (e.g., Fivetran) and owned ETL systems alongside the Infrastructure Lead.
- Design the pipeline as a standalone, owned system to power client-facing dashboards.
- Provide flexible engineering support for application and backend work within the AWS environment when directed.
- Coordinate with data science teams to ensure ingestion output aligns with the attribution and scoring logic of downstream models.
- Work seamlessly within the existing AWS environment (ECS, S3, RDS) rather than standing up parallel infrastructure.

PERKS AND BENEFITS

- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Adaptable schedule with remote and office options.

📌 Senior Data Engineer (Mendoza)
🏢 AgileEngine
📍 Mendoza