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Mid-level generalist data role, strong employer brand, and metro location increase candidate competition.
Data engineering skills (ETL, AWS, Snowflake) are broadly transferable across industries but remain domain-specific.
Multiple explicit years and mandatory tech requirements (AWS, Snowflake, ETL, Python) raise screening strictness.
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Design, build, and optimize scalable cloud-native data platforms on AWS including data lakes, warehouses, and analytics stores.
Guide junior engineers on best practices, code quality, and delivery while collaborating with product owners and architects to translate business requirements into production-grade data solutions.
Manage delivery commitments and participate in hiring through technical assessments and interviews.
3-5 years of experience in Python programming related to complex data loading.
3-5 years hands-on ETL experience with mandatory RDMS experience (Postgres preferred).
2+ years hands-on experience with AWS cloud technologies, CI/CD tools (GIT/BitBucket), and data management in AWS.
2+ years hands-on experience with Snowflake is required.
Strong background in cloud data engineering with a focus on AWS and Snowflake platforms.
Experience working collaboratively with cross-functional teams including BI, ETL, product owners, and architects.
Capable of independently managing data platform delivery cycles and mentoring junior staff while driving technical excellence.