Remote Senior Data Engineer: ETL, Analytics & AWS Pipelines

Agileengine, Llc.; Ciudad de Mendoza; Híbrido; ARS 135.820.000 - 196.185.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation (USD)

Exciting projects

Flextime

Descripción de la vacante

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 logic, evaluate build-vs-buy options such as Fivetran, and build a standalone pipeline powering client dashboards.

Strong SQL and DSP data experience are essential, along with knowledge of AWS data services to integrate into the existing cloud ecosystem.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Data ingestion

ETL pipelines

Large-scale pipelines

Python or similar

Herramientas

TapClicks

AWS (S3, ECS, RDS)

Fivetran

Amazon DSP

Descripción del empleo

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 logic, evaluate build-vs-buy options such as Fivetran, and build a standalone pipeline powering client dashboards.

Strong SQL and DSP data experience are essential, along with knowledge of AWS data services to integrate into the existing cloud ecosystem.