Data Engineer — Snowflake Migrations & Airflow (Remote/Flex)

AgileEngine, LLC.; Sevilla; Hybrid; EUR 89,000 - 133,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime with remote and office option

Job summary

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

You will collaborate with the data platform team to migrate approximately 1,000 datasets, adapt pipelines to Snowflake, ensure data quality, and help move Airflow from v2 to v3 while advancing the modernization project by March 2027.

Qualifications

• Strong software engineering fundamentals.
• 3+ years of hands-on Python development experience.
• Advanced SQL with complex joins, CTEs, window functions, and performance tuning.
• Snowflake data modeling experience.
• Apache Airflow—developing and testing pipelines in Airflow and Python.
• Iceberg and Parquet data formats.
• AWS experience, particularly S3 for data lakes, partitioning and lifecycle policies.
• Testing strategy experience with hands-on debugging and testing code.
• At least 2 years of industry experience working 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

Software engineering fundamentals

Python development

Advanced SQL

Snowflake data modeling

Apache Airflow

Iceberg/Parquet formats

AWS S3 data lakes

Testing/debugging

Large-scale datasets

Airflow timing constraints

Tools

Airflow

Spark

Snowflake

AWS

Job description

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

You will collaborate with the data platform team to migrate approximately 1,000 datasets, adapt pipelines to Snowflake, ensure data quality, and help move Airflow from v2 to v3 while advancing the modernization project by March 2027.