Senior Data Engineer — Build AWS DSP ETL Pipeline

AgileEngine; Rosario; Híbrido; ARS 135.892.000 - 181.190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine, an Inc. 5000 company, seeks a Senior Data Engineer to replace a third-party ingestion tool with a custom ETL pipeline in our AWS environment.

You will document logic, evaluate build-vs-buy options like Fivetran, and design a standalone pipeline powering client dashboards. Ideal candidates have 4+ years in SQL and large-scale data ingestion, experience with DSP data, AWS data services, and strong English skills.

Formación

• 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/backend work beyond ETL.
• Familiarity with managed ELT tools like Fivetran.
• Ability to ramp into attribution and scoring logic for dashboards.
• Upper-intermediate English level.

Responsabilidades

• Document current ingestion logic inside the legacy tool (TapClicks).
• Build the ETL pipeline to replace the legacy system using AWS environment.
• Evaluate build-vs-buy options (e.g., Fivetran) with Infrastructure Lead.
• Design the pipeline as a standalone, owned system for client dashboards.
• Provide flexible engineering support for AWS-based applications/backend work.
• Coordinate with data science teams to align ingestion with downstream models.
• Operate within the existing AWS environment (ECS, S3, RDS).

Conocimientos

SQL

Data ingestion

DSP data

AWS data services

ETL pipelines

English

Herramientas

Fivetran

AWS ECS

S3

RDS

Descripción del empleo

AgileEngine, an Inc. 5000 company, seeks a Senior Data Engineer to replace a third-party ingestion tool with a custom ETL pipeline in our AWS environment.

You will document logic, evaluate build-vs-buy options like Fivetran, and design a standalone pipeline powering client dashboards. Ideal candidates have 4+ years in SQL and large-scale data ingestion, experience with DSP data, AWS data services, and strong English skills.