Senior Data Engineer: Marketing Analytics & Bigquery Etl

Aesa (A-Evangelista Sa); Rosario; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Remote and flexible

Fortune 500-scale projects

Job summary

Aesa (A-Evangelista Sa) seeks a Senior Data Engineer to replace a third-party data ingestion tool with an owned ETL pipeline. The role requires 4+ years of SQL and large-scale data ingestion experience, and strong AWS data services knowledge to operate within our cloud environment.

You will build the ETL pipeline to ingest from the Amazon API and DSP platforms, evaluate ELT tools, and collaborate with data science to align outputs with downstream dashboards.

Qualifications

• 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.

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.

Skills

SQL

Large-scale data ingestion

ETL pipelines

AWS data services

Claude Code

MCP

Dashboard integration

English (Upper-intermediate)

Tools

AWS (RDS/Postgres)

S3

ECS

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.

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Requirements
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.

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Job Description
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What’s Offered:

- Remote role with the flexibility that comes with a distributed, async-friendly team

- Competitive compensation based on experience and location

- A pivotal, high-visibility seat on a scaling Data & Analytics team, with real ownership over the agency’s reporting infrastructure

- Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data

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