About this role
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.
MUST HAVES
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Strong software engineering fundamentals.
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3+ years of hands-on Python development experience.
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Advanced SQL, including complex joins, CTEs, window functions, and performance tuning.
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Snowflake data modeling.
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Apache Airflow — developing and testing pipelines in Airflow and Python.
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Apache Kafka.
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Apache Spark, including hands-on PySpark experience.
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Iceberg and Parquet data formats.
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AWS experience, particularly S3 (data lakes, partitioning, and lifecycle policies).
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Testing strategy experience, with the ability to hands-on debug and test code.
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At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.
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Overlap until 12 PM Pacific Time.
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Upper-intermediate English level.
NICE TO HAVES
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Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost optimization).
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Experience with Apache Airflow migrations (version upgrades, executor changes, or platform migrations).
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Experience using AI tools for development.
WHAT YOU WILL DO
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Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort.
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Execute the migration of approximately 1,000 datasets to Snowflake.
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Adapt existing pipelines to Snowflake, following the core architecture and technical approach defined by the internal team.
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Ensure data quality and reliability throughout the migration process.
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Support workflow scheduling and monitoring in Apache Airflow 3.
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Execute time-sensitive migrations, including Airflow 2 to 3, Confluent region migration, and the move to Iceberg.
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Help accelerate the migration initiatives targeted for completion by the end of March 2027.
PERKS AND BENEFITS
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Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
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Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
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Exciting projects: Modern solutions with Fortune 500 and top product companies.
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Flextime: Flexible schedule with remote and office options.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.