Senior Data Engineer - Scalable ETL & AI Workflows (Remote)

Livefront; Ciudad de Mendoza; Hybrid; ARS 181,747,000 - 242,329,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to replace a third-party data ingestion tool with an owned ETL pipeline. You will join the data platform team to design, implement, and operate scalable ingestion within AWS, aligning sources to downstream dashboards.

You will collaborate with data science teams to ensure attribution and scoring logic is reflected in data products, while evaluating off-the-shelf vs custom ETL solutions in a dynamic, Fortune-500 capable environment.

Qualifications

• 4+ years of SQL and large-scale data ingestion/pipeline experience (batch ETL, orchestration, schema design).
• Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment.
• Practical experience with Claude Code or similar tools, and MCP in real work.
• 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.

Responsibilities

• Document current ingestion logic inside the legacy tool, 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 owned 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.

Skills

SQL and data ingestion

AWS data services

Claude Code or similar tools

ETL beyond pure ingestion

ELT tools familiarity

Attribution and scoring alignment

Tools

Fivetran

Job description

AgileEngine is seeking a Senior Data Engineer to replace a third-party data ingestion tool with an owned ETL pipeline. You will join the data platform team to design, implement, and operate scalable ingestion within AWS, aligning sources to downstream dashboards.

You will collaborate with data science teams to ensure attribution and scoring logic is reflected in data products, while evaluating off-the-shelf vs custom ETL solutions in a dynamic, Fortune-500 capable environment.