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, Conflu
📌 Ingeniero/a de Datos AWS (Valencia)
🏢 AgileEngine
📍 Valencia
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