Senior Data Engineer, Azure Data Platform (Remote Latam)

Zeo Consulting; Ciudad de Mendoza; Hybrid; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based 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 build and own the ingestion layer, ingesting from the Amazon API, DSP platforms, and related data sources.

You will collaborate with data science and infrastructure to align ingestion outputs with downstream dashboards and attribution models while leveraging AWS services and modern ML-ready pipelines.

Qualifications

• 4+ years of SQL and large-scale data ingestion experience with batch ETL and schema design.
• Working knowledge of AWS data services (RDS/Postgres, S3, ECS) within a cloud environment.
• Hands-on with Claude Code or similar tools and agents or MCP in real work.
• Ability to contribute to application/backend work beyond ETL to support the platform.
• Familiarity with or ability to evaluate ELT tools like Fivetran against custom builds.

Responsibilities

• Document current ingestion logic in the legacy tool: sources, endpoints, schemas, transforms.
• Build an ETL pipeline to replace legacy system ingesting from Amazon API and other DSP data sources.
• Evaluate off-the-shelf vs owned ETL solutions with Infrastructure Lead.
• Design the pipeline as a standalone owned system powering client dashboards.
• Provide AWS-based engineering support for app/backend work as needed.
• Coordinate with data science to ensure ingestion aligns with attribution/scoring models.
• Work within the existing AWS environment (ECS, S3, RDS) instead of new infra.

Skills

SQL

ETL

AWS

Claude Code

MCP

Tools

Fivetran

Amazon API

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to replace a third-party data ingestion tool with an owned ETL pipeline.

MUST HAVES

• 4+ years of strong 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 agents or 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.

NICE TO HAVES

• Direct or adjacent experience with digital advertising / DSP data (e.g., Amazon DSP, Amazon Advertising API, or comparable programmatic platforms).
• Experience replacing legacy third-party data pipelines with owned, custom infrastructure.
• Familiarity with MLOps pipelines and how data feeds predictive models.
• Experience working alongside part-time technical advisory leads to validate architecture decisions.

WHAT YOU WILL DO

• 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.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.