Data Engineer - Snowflake & Airflow on AWS

AgileEngine, LLC.; Madrid; Remote; EUR 80,000 - 134,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Exciting projects

Flextime

Job summary

AgileEngine seeks a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. You will join the data platform team to drive modernization across 17+ industries.

You will migrate ~1,000 datasets to Snowflake, adapt pipelines, ensure data quality, and assist with Airflow 2 to 3 migrations, Confluent region changes, and Iceberg transitions, aiming for completion by March 2027.

Qualifications

• 3+ years of hands-on Python development experience.
• Advanced SQL with 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, lifecycle).
• Testing strategy experience, hands-on debugging and testing code.
• 2+ years of industry experience with large-scale datasets, including Airflow and Spark.
• Overlap until 12 PM Pacific Time.

Responsibilities

• Work embedded in the data engineering function to support modernization.
• Migrate approximately 1,000 datasets to Snowflake.
• Adapt existing pipelines to Snowflake following internal architecture.
• Ensure data quality and reliability throughout migration.
• Support workflow scheduling and monitoring in Apache Airflow 3.
• Execute time-sensitive migrations including Airflow 2 to 3 and Iceberg move.
• Help accelerate migration initiatives toward March 2027 end date.

Skills

Python development

Advanced SQL

Snowflake data modeling

Apache Airflow

Iceberg data formats

Parquet data formats

AWS S3

Testing strategy

Airflow and Spark

Overlap management

Tools

Snowflake

Apache Airflow

Spark

Iceberg

Parquet

AWS S3

Job description

AgileEngine seeks a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. You will join the data platform team to drive modernization across 17+ industries.

You will migrate ~1,000 datasets to Snowflake, adapt pipelines, ensure data quality, and assist with Airflow 2 to 3 migrations, Confluent region changes, and Iceberg transitions, aiming for completion by March 2027.