Senior Data Engineer: Data Ingestion & Connectors (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 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.
• - Upper-intermediate English level.

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.