Senior Data Engineer ID88015

Job Description

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 lead the replacement of a third-party digital ingestion tool with a custom-built ETL pipeline. This person will document existing logic, evaluate build-vs-buy options such as Fivetran, and build a standalone pipeline within an existing AWS environment. Strong SQL and DSP or programmatic advertising experience are central to this role.

WHAT YOU WILL DO

- Document current ingestion logic inside the legacy tool (TapClicks), 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 custom-built 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.

MUST HAVES

- 4+ years of strong SQL and large-scale data ingestion/pipeline experience (batch ETL, orchestration, schema design).

- Direct or adjacent experience with digital advertising / DSP data (e.g., Amazon DSP, Amazon Advertising API, or comparable programmatic platforms).

- Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment.

- 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

- 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.

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.

Requirements
- 4+ years of strong SQL and large-scale data ingestion/pipeline experience (batch ETL, orchestration, schema design). - Direct or adjacent experience with digital advertising / DSP data (e.g., Amazon DSP, Amazon Advertising API, or comparable programmatic platforms). -Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment. -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.