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Mid-level metro Data Engineer role; common title and metro location increase competition.
Snowflake and cloud-specific skills moderately constrain cross-industry transferability.
Explicit 5–7 years plus mandatory Snowflake, SQL, ETL, and cloud skills make filters strict.
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Design, develop, and maintain scalable data pipelines and Snowflake objects to support enterprise data warehousing and analytics.
Implement data modeling and architecture using dimensional models and optimized warehouse structures.
Optimize Snowflake performance and query cost, ensure data quality, manage ETL/ELT workflows, and handle governance and security for data solutions.
Minimum 5 years of experience in data engineering, data warehousing, or Snowflake development.
Strong proficiency in SQL and hands-on experience with Snowflake Cloud Data Platform.
Experience with ETL/ELT tools and cloud integrations such as Azure or AWS.
Bachelor's or Master's degree in Computer Science, IT, Data Engineering, or equivalent.
Experienced in designing and optimizing cloud-based data pipelines with Snowflake at scale.
Skilled in dimensional data modeling (star/snowflake schema) and performance tuning in Snowflake environments.
Comfortable managing data governance and collaborating with BI, analytics, and cloud teams in agile settings.