Lead Data Engineer (Python, Databricks, SQL)
IL-Chicago, 70 W Madison St Fl 8, United States
USD 150K-165K Senior-level Full Time
Tasks
- Build analytics and data consumption solutions
- Build solutions with Databricks Python and PySpark
- Design secure scalable cloud data architecture
- Develop ETL pipelines
- Develop and optimize SQL Server pipelines
- Drive modernization with proofs of concept
- Ensure regulatory compliance with audit partnership
- Implement automated testing and CI/CD
- Improve SDLC throughput
- Manage intake estimation and KPIs
- Oversee risk management and security by design
- Own end to end data strategy delivery
- Provide technical leadership and mentorship
- Set up observability and continuous improvement
- Translate business objectives into cloud data solutions
Perks/Benefits
- 401k
- Disability insurance
- Health savings account
- Holidays
- Hybrid work schedule
- Life insurance
- Medical, dental & vision coverage
- Paid sick leave
- Paid time off
- Parental leave
- Recognition program
- Wellbeing support
Skills/Tech-stack
Automation | Azure | Azure Databricks | Azure DevOps | Azure SQL | CI/CD | Cognos | Databricks | Databricks SQL | Databricks Unity | Databricks Unity Catalog | DevOps | ETL | GitHub Copilot | Integration | Jira | Observability | Power BI | PySpark | Python | REST APIs | Release Management | SDLC | SQL Server | Tableau | Testing | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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