Data Engineer: Snowflake Migrations & Airflow (Remote)

AgileEngine, LLC.; Poznań; Hybrid; PLN 434,000 - 591,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

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 within the data engineering function to advance a modernization effort for our data platform. The role requires 3+ years Python and advanced SQL, Snowflake modeling, and Airflow expertise. You’ll migrate datasets, ensure data quality, and collaborate with teams to meet migration targets by March 2027. Remote-friendly with flextime.

Qualifications

• 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.
• Apache Kafka.
• Apache Spark, including hands-on PySpark experience.
• 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.
• Upper-intermediate English level.

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

SQL

Airflow

Snowflake

Kafka

Spark

Iceberg

Parquet

AWS S3

Testing

Data pipelines

Time zone overlap

English proficiency

Tools

Snowflake

Airflow

Kafka

Spark

Iceberg

Parquet

AWS S3

Job description

AgileEngine, LLC. is seeking a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.

You will work within the data engineering function to advance a modernization effort for our data platform. The role requires 3+ years Python and advanced SQL, Snowflake modeling, and Airflow expertise. You’ll migrate datasets, ensure data quality, and collaborate with teams to meet migration targets by March 2027. Remote-friendly with flextime.