Data Engineer Snowflake and Databricks Chicago IL Hybrid
About the position
Winning posts here stress Azure aligned stacks with Databricks plus Snowflake and Azure Data Factory and Synapse or SQL Server integration, and clear impact on risk and finance analytics. As a Data Engineer you will design and optimize pipelines and models on Databricks and Snowflake for regulated workloads, with strong documentation and evidence for audit.
Responsibilities
• Build secure and reliable ELT, manage secrets, and enforce roles
• Deliver curated marts for CECL and risk and finance and product use cases
• Add quality checks and lineage and drift monitors
• Partner with platform teams on cost and reliability improvements
Requirements
• 5 to 8 years in data engineering with Azure or multi cloud
• Databricks PySpark and Delta and jobs and repos
• Snowflake performance and RBAC and streams and tasks
• Azure Data Factory or Airflow, plus dbt for modeling
• SQL Server or Synapse integration experience is a plus
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