Snowflake Data Engineer: Migrations & Airflow

AgileEngine, LLC.; Poznań; Hybrid; PLN 352,000 - 509,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Flextime

Exciting projects

Job summary

AgileEngine, LLC. is seeking a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. The role requires strong Python development, advanced SQL, and hands-on experience with Snowflake, Iceberg, Parquet, and AWS S3.

You will work within the data engineering function to migrate ~1,000 datasets, adapt pipelines to Snowflake, and ensure data quality and reliability, while coordinating with Airflow 3 deployments and end-user teams.

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, and lifecycle policies).
• Testing strategy experience; able to debug and test code.
• At least 2 years of industry experience with large-scale datasets, including Airflow and Spark.
• Overlap until 12 PM Pacific Time.

Responsibilities

• 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.

Skills

Python

Advanced SQL

Snowflake

Airflow

Iceberg

Parquet

AWS S3

Testing

Spark

Timezone overlap

Tools

Airflow

Spark

Job description

AgileEngine, LLC. is seeking a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. The role requires strong Python development, advanced SQL, and hands-on experience with Snowflake, Iceberg, Parquet, and AWS S3.

You will work within the data engineering function to migrate ~1,000 datasets, adapt pipelines to Snowflake, and ensure data quality and reliability, while coordinating with Airflow 3 deployments and end-user teams.