Senior Data Engineer — Build End-to-End AWS ETL (Remote/Flextime)

AgileEngine, LLC.; Metropolitana; Híbrido; COP 372.902.000 - 559.354.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/Top

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 inside an existing AWS environment. You will document logic, assess build-vs-buy options such as Fivetran, and build a standalone pipeline powering client dashboards.

You will collaborate with data science teams to ensure ingestion outputs align with attribution and scoring for downstream models, leveraging ECS/S3/RDS and backend support as needed.

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) 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.

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 pipelines

DSP data experience

AWS data services

Backend integration

Attribution models

Herramientas

Fivetran

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 inside an existing AWS environment. You will document logic, assess build-vs-buy options such as Fivetran, and build a standalone pipeline powering client dashboards.

You will collaborate with data science teams to ensure ingestion outputs align with attribution and scoring for downstream models, leveraging ECS/S3/RDS and backend support as needed.