Ingeniero/a de Datos AWS ID94415

AgileEngine, LLC.; La Coruña; Hybrid; EUR 89,000 - 143,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. You will work closely with the data platform team on a modernization effort and ensure data quality during migration.

Responsibilities include migrating ~1,000 datasets to Snowflake, adapting pipelines, and monitoring Airflow workloads. You will collaborate across Fortune 500 and innovative startups with flextime and remote/office options.

Qualifications

• 3+ years of hands-on Python development.
• Advanced SQL with complex joins, CTEs and window functions.
• Snowflake data modeling expertise.
• Experience with Apache Airflow pipelines in Python.
• Familiarity with Iceberg and Parquet formats.
• AWS data lake experience, especially S3.
• Experience with large-scale datasets and Spark.
• Ability to overlap with Pacific Time up to 12 PM.

Responsibilities

• Work within the data engineering function on a data platform modernization.
• Migrate ~1,000 datasets to Snowflake.
• Adapt existing pipelines to Snowflake following internal architecture.
• Ensure data quality and reliability during migration.
• Support workflow scheduling and monitoring in Airflow.
• Execute time-sensitive migrations (Airflow 2→3, Iceberg moves).
• Help accelerate migration milestones toward March 2027.

Skills

Python development

Advanced SQL

Airflow

Snowflake modeling

Iceberg/Parquet

AWS S3

Testing/debug

Large-scale datasets

Tools

Snowflake

Apache Airflow

Spark

AWS S3

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 Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.

MUST HAVES

• Strong software engineering fundamentals.
• 3+ years of hands-on Python development experience.
• Advanced SQL, including complex joins, CTEs, window functions, and performance tuning.
• Snowflake data modeling.
• Apache Airflow — developing and testing pipelines in Airflow and Python.
• Iceberg and Parquet data formats.
• AWS experience, particularly S3 (data lakes, partitioning, and lifecycle policies).
• Testing strategy experience, with the ability to hands-on debug and test code.
• At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.
• Overlap until 12 PM Pacific Time.

NICE TO HAVES

• Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost optimization).
• Experience with Apache Airflow migrations (version upgrades, executor changes, or platform migrations).

WHAT YOU WILL DO

• Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort.
• Execute the migration of approximately 1,000 datasets to Snowflake.
• Adapt existing pipelines to Snowflake, following the core architecture and technical approach defined by the internal team.
• Ensure data quality and reliability throughout the migration process.
• Support workflow scheduling and monitoring in Apache Airflow 3.
• Execute time-sensitive migrations, including Airflow 2 to 3, Confluent region migration, and the move to Iceberg.
• Help accelerate the migration initiatives targeted for completion by the end of March 2027.

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.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.