Senior Data Engineer - Spark, Emr & Ai Pipelines (Remote)

Agileengine; Partido de Quilmes; Remote; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Education budget

Fitness budget

Team activities budget

Job summary

AgileEngine is seeking a Senior Data Engineer to lead the replacement of a third-party digital ingestion tool with a custom ETL pipeline within an existing AWS environment.

You will document legacy logic, evaluate build-vs-buy options, and build a standalone pipeline to power client-facing dashboards, collaborating with data science and infrastructure teams.

Qualifications

• 4+ years of strong SQL and large-scale data ingestion/pipeline experience.
• Direct or adjacent experience with digital advertising / DSP data.
• Working knowledge of AWS data services (RDS/Postgres, S3, ECS).
• Ability to contribute to application and backend work beyond pure ETL.

Responsibilities

• 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.

Skills

SQL

ETL pipeline

DSP data

AWS data services

Tools

TapClicks

Fivetran

AWS ECS

AWS S3

PostgreSQL

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.

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.

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