Senior Data Engineer - Lead Custom ETL in AWS for DSP Data

AgileEngine, LLC.; Mar del Plata; Híbrido; ARS 166.430.000 - 242.079.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC seeks a Senior Data Engineer to lead building a standalone ETL pipeline in our AWS environment, replacing a legacy tool and evaluating Fivetran versus build options. This role will document existing logic, ingest from Amazon DSP data sources, and shape data for dashboards.

You will collaborate with data science and infrastructure teams, work across ECS, S3, and RDS, and contribute to backend tasks beyond ETL, enabling scalable analytics for Fortune 500 clients.

Formación

• 4+ years of strong SQL and large-scale data ingestion/pipeline experience.
• Experience with digital advertising / DSP data.
• Knowledge of AWS data services (RDS/Postgres, S3, ECS).
• Ability to contribute to application/backend work beyond ETL.
• Familiarity with ELT tools such as Fivetran.
• Able to align ingestion outputs with downstream dashboards.

Responsabilidades

• Document current ingestion logic in the legacy TapClicks tool.
• Build the ETL pipeline to replace the legacy system ingesting from Amazon API and other DSPs.
• Evaluate off-the-shelf solutions vs custom builds with Infrastructure Lead.
• Design the pipeline as a standalone owned system powering client dashboards.
• Provide flexible engineering support within the AWS environment.
• Coordinate with data science teams to align outputs with attribution and scoring models.
• Work within the existing AWS environment (ECS, S3, RDS).

Conocimientos

SQL

Data ingestion

Batch ETL

Pipeline design

Herramientas

AWS (RDS/Postgres)

S3

ECS

Descripción del empleo

AgileEngine, LLC seeks a Senior Data Engineer to lead building a standalone ETL pipeline in our AWS environment, replacing a legacy tool and evaluating Fivetran versus build options. This role will document existing logic, ingest from Amazon DSP data sources, and shape data for dashboards.

You will collaborate with data science and infrastructure teams, work across ECS, S3, and RDS, and contribute to backend tasks beyond ETL, enabling scalable analytics for Fortune 500 clients.