Senior Data Engineer — AWS ETL for DSP & Dashboards

Coderio; Rosario; On-site; ARS 182,877,000 - 274,315,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to replace a third‑party ingestion tool with a custom ETL pipeline in an existing AWS environment. You will document current logic, evaluate build‑vs‑buy options like Fivetran, and design a standalone pipeline powering client dashboards.

Strong SQL and DSP data experience, plus AWS data services knowledge (RDS, S3, ECS), are essential. You will collaborate with data science teams to align ingestion with downstream models and work within ECS/S3/RDS

Qualifications

• 4+ years of 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 pure ETL to support broader platform needs.
• Familiarity with ELT tools (such as Fivetran) against custom builds.
• Upper-intermediate English level.

Responsibilities

• Document ingestion logic in the legacy TapClicks tool, including sources, endpoints, schemas, and transformations.
• Build the ETL pipeline to replace the legacy system, ingesting from the Amazon API, DSP platforms, and related data sources.
• Evaluate off-the-shelf vs. custom ETL solutions with Infra Lead.
• Design the standalone owned pipeline to power client-facing dashboards.
• Provide engineering support for app/backend work within AWS.
• Coordinate with data science teams to align ingestion with downstream models.
• Work within the existing AWS environment (ECS, S3, RDS) rather than stand up parallel infrastructure.

Skills

SQL & ETL

DSP data

AWS services

ETL development

Fivetran

English level

Tools

Fivetran

TapClicks

Amazon DSP

Job description

AgileEngine is seeking a Senior Data Engineer to replace a third‑party ingestion tool with a custom ETL pipeline in an existing AWS environment. You will document current logic, evaluate build‑vs‑buy options like Fivetran, and design a standalone pipeline powering client dashboards.

Strong SQL and DSP data experience, plus AWS data services knowledge (RDS, S3, ECS), are essential. You will collaborate with data science teams to align ingestion with downstream models and work within ECS/S3/RDS