Data Engineer
Chicago, Illinois, USA, United States
USD 114K-135K Senior-level Full Time
Tasks
- Apply normalization methods
- Automate documentation and processes
- Build data pipelines
- Coordinate external data dependencies
- Define data quality rules
- Develop dataset specifications
- Document data lineage
- Enforce data interfaces
- Enhance data infrastructure scalability
- Ingest transform store datasets
- Integrate internal/external data sources
- Integrate vendor and public datasets
- Maintain change log and requirements register
- Monitor third party data products
- Perform exploratory data analysis
- Prototype emerging ML AI workflows
- Validate data integrity
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement savings plan
- Unpaid time off
- Vision insurance
Skills/Tech-stack
AWS | Agile | Automation | Azure | Data Science | Data pipeline | Databricks | Delta Lake | Econometrics | Geographic Information Systems | Geospatial Data | Git | Information Systems | Medallion Architecture | Python | R | SQL | Scrum | Time Series | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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