Senior Data Engineer (Health Research Team)
Chicago, Illinois, United States
R
USD 104K-199K Senior-level Full Time
Tasks
- Address pipeline issues
- Apply data governance and retention policies
- Build ad hoc data workflows
- Build data validation frameworks
- Collaborate on process enhancements
- Communicate progress status and issues
- Deploy workflows to production
- Design data ETL pipelines
- Enhance data ETL pipelines
- Establish data quality metrics
- Implement corrective actions
- Ingest transform healthcare data for Databricks
- Investigate data pipeline failures
- Lead data pipeline reviews
- Maintain data ETL pipelines
- Monitor pipeline health dashboards
- Monitor pipeline performance
- Provide technical support via help desk
- Validate data pipeline integrity
- Write Databricks notebook scripts
Perks/Benefits
- 401k plan
- Employee Assistance Program (EAP)
- Family building benefits
- Flexible Spending Accounts FSA
- Flexible work arrangements
- Holidays
- Medical/Dental/Vision
- Paid parental leave
- Paid time off
- Remote work option
Skills/Tech-stack
AWS EC2 | AWS S3 | Apache Spark | Azure | Data Governance | Data Quality | Data Retention | Data Validation | Databricks | Excel | GitHub | Power Query | PySpark | Python | REST API | SAS | SQL | VBA
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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