Data Engineer Snowflake and Databricks -Chicago, IL -Hybrid
$176,800–$343,200 year
On-siteChicago, Illinois, United States
Job Summary
Design and optimize secure ELT pipelines on Databricks and Snowflake for regulated CECL, risk, and finance analytics workloads. Manage secrets, enforce roles, and deliver curated marts while adding quality checks, lineage, and drift monitors. Partner with platform teams to improve cost and reliability, ensuring SLA adherence of 95% across critical tables. Complete audit evidence packs 100% on time to support compliance. This role targets candidates with 5 to 8 years in Azure or multi-cloud data engineering, utilizing PySpark, Delta Lake, and dbt to drive 20% cost reduction per TB processed within 90 days.
Required Qualifications
- 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
Desired Qualifications
- SQL Server or Synapse integration experience is a plus
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