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Mid-level generalist data-engineer role with common AWS/Snowflake skills and likely metro hybrid location.
Core data engineering skills are highly transferable across industries despite Snowflake/AWS specifics.
Explicit years per skill and mandatory AWS, ETL, Snowflake requirements increase filter strictness.
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Design, build, and optimize cloud-native data platforms on AWS, including data lakes, data warehouses, and analytics stores.
Guide junior engineers on best practices, code quality, and ensure high-quality delivery of data platform solutions.
Collaborate with product owners, architects, and stakeholders to translate business requirements into scalable and production-grade data engineering solutions.
3-5 years of experience in Python programming focused on complex data loading.
3-5 years of strong ETL experience and prior experience in any RDMS (Postgres preferred).
At least 2 years of hands-on experience with AWS cloud technologies, CI/CD tools (GIT/BitBucket), and managing data in AWS.
Minimum 2 years of hands-on experience with Snowflake data platform.
Experienced data engineer with strong background in cloud-native AWS data platform design and implementation.
Skilled in translating business requirements into detailed data dictionaries and data assets for ETL/ELT and DBA teams.
Proven ability to lead and mentor junior engineers while managing multiple stakeholders and prioritizing delivery commitments.