Lead Data Engineer (Databricks, SQL)
IL-70 W Madison St, 8th Fl, United States
USD 150K-170K Senior-level Full Time
Tasks
- Build ETL analytics and data consumption
- Define secure scalable data architecture
- Develop solutions using Databricks Python PySpark and SQL Server
- Drive modernization via proofs of concept
- Embed risk management and security privacy by design
- Ensure regulatory compliance and partner with compliance and audit
- Implement automation testing CI CD and observability
- Improve SDLC throughput via intake estimation and KPI management
- Modernize and reduce technical debt
- Own end to end delivery of data strategy capabilities
- Translate business objectives into secure scalable cloud data solutions
Perks/Benefits
- 401k
- Disability insurance
- Health savings account
- Hybrid work arrangement
- Life insurance
- Medical/Dental/Vision insurance
- Paid time off
- Parental leave
- Sick leave
- Wellbeing support
Skills/Tech-stack
Advanced Analytics | Agile | Automation | Azure | Azure Blob | Azure Blob Storage | Azure DevOps | Azure Functions | Azure SQL | Blob Storage | CI/CD | Cognos | Data Ingestion | Data Optimization | Data Pipeline Development | Data pipeline | Databricks | DevOps | ETL | GitHub | GitHub Copilot | Integration Services | Jira | Observability | Pipeline Development | Power BI | PySpark | Python | REST APIs | Reporting | SDLC | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | SSIS | Scala | Server Integration Services | Tableau | Testing
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
Cities
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