About the Role
We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.
The mandatory requirements are 3+ years of Python, advanced SQL, Snowflake modeling, Airflow, Kafka, Spark/PySpark, Iceberg, Parquet, AWS S3, testing/debugging, 2+ years with large-scale Airflow/Spark data, overlap until 12 PM Pacific Time, and upper-intermediate English. Snowflake/Airflow migrations and AI tools are a plus.
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, Confluent region migration, and the move to Iceberg.
- Help accelerate the migration initiatives targeted for completion by the end of March 2027.
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.
- 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.
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).
- Experience using AI tools for development.
Perks and Benefits
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.