Senior Data Engineer: Build Owned ETL Pipelines (Remote)

Pyyne Digital; Ciudad de Mendoza; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation (USD-based)

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to replace a third-party ingestion tool with an owned ETL pipeline, focusing on robust data ingestion and scalable architecture.

The role requires strong SQL, batch ETL expertise, and hands-on AWS data services experience. You will work on integrating DSP data sources and aligning outputs with downstream dashboards while collaborating with data science teams.

Qualifications

• Strong SQL and large-scale data ingestion experience with batch ETL and schema design.
• Hands-on AWS data services experience (RDS/Postgres, S3, ECS) in cloud environments.
• Practical experience with Claude Code or similar tools for agents or MCP.
• Ability to contribute to application and backend work beyond ETL to support platform needs.
• Familiarity with managed ELT tools (e.g., Fivetran) vs. custom builds.
• Ability to align ingestion outputs with downstream attribution and scoring logic.
• Upper-intermediate English level.

Responsibilities

• Document current ingestion logic inside the legacy tool: sources, endpoints, schemas, and transforms.
• Build the ETL pipeline to replace legacy system handling Amazon API and DSP data sources.
• Evaluate between off-the-shelf solutions and owned ETL systems with Infrastructure Lead.
• Design the pipeline as a standalone, owned system powering client dashboards.
• Provide flexible engineering support for application/backend work in AWS as directed.
• Coordinate with data science teams to align ingestion output with attribution models.
• Work within the existing AWS environment (ECS, S3, RDS) without standing up parallel infra.

Skills

SQL

ETL pipelines

Data ingestion

Claude Code

English (upper-intermediate)

Tools

AWS ECS

S3

RDS/Postgres

Fivetran

Job description

AgileEngine is seeking a Senior Data Engineer to replace a third-party ingestion tool with an owned ETL pipeline, focusing on robust data ingestion and scalable architecture.

The role requires strong SQL, batch ETL expertise, and hands-on AWS data services experience. You will work on integrating DSP data sources and aligning outputs with downstream dashboards while collaborating with data science teams.