Senior Data Engineer — Build Standalone AWS ETL for DSP

AgileEngine, LLC.; Ciudad de Mendoza; Hybride; ARS 138 361 000 - 199 855 000; Plein temps

Avantages offerts par ce poste

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Résumé du poste

AgileEngine is seeking a Senior Data Engineer to lead the replacement of a third-party ingestion tool with a custom ETL pipeline in our AWS environment. You will document existing logic, evaluate build-vs-buy options such as Fivetran, and build a standalone pipeline to power client dashboards.

The role requires strong SQL and experience with DSP data and AWS data services. Collaboration with data science teams and flexibility to work across teams is essential.

Qualifications

• 4+ years of SQL and large-scale data ingestion/pipeline experience.
• Experience with digital advertising DSP data (e.g., Amazon DSP).
• Working knowledge of AWS data services (RDS/Postgres, S3, ECS).
• Ability to contribute to backend work beyond ETL to support broader platform needs.
• Upper-intermediate English required.

Responsabilités

• Document current ingestion logic inside the legacy tool (TapClicks).
• Build the ETL pipeline to replace the legacy system for multiple data sources.
• Evaluate build-vs-buy options such as Fivetran with Infrastructure Lead.
• Design the pipeline as a standalone, owned system to power client dashboards.
• Provide flexible engineering support within AWS environment as directed.
• Coordinate with data science teams to align ingestion output with downstream models.
• Work within the existing AWS environment (ECS, S3, RDS).

Connaissances

SQL

Data ingestion pipelines

DSP data

English (upper-intermediate)

Outils

AWS

Description du poste

AgileEngine is seeking a Senior Data Engineer to lead the replacement of a third-party ingestion tool with a custom ETL pipeline in our AWS environment. You will document existing logic, evaluate build-vs-buy options such as Fivetran, and build a standalone pipeline to power client dashboards.

The role requires strong SQL and experience with DSP data and AWS data services. Collaboration with data science teams and flexibility to work across teams is essential.