Data Engineer, Global Talent Intelligence
Chicago, IL, US; Seattle, WA, US; Dallas, TX, US; Mountain View, CA, US; Albany, NY, US; Atlanta, GA, US; Washington, DC, US
USD 119K-258K Mid-level Full Time
Tasks
- Assess data costs, security, and compliance
- Build curated pipelines and models
- Collaborate across teams to improve data systems
- Design and scale data infrastructure
- Design data models and schemas
- Develop and validate code for data platforms
- Document data processes and specifications
- Evaluate data quality and completeness
- Extract and validate data from sources
- Implement data governance and responsible AI practices
- Merge data into distributed systems
- Monitor data pipelines and system health
- Partner with stakeholders for data requirements
- Perform root cause analysis and implement solutions
- Support automation and optimization of data workflows
- Transform raw data into usable formats
Perks/Benefits
Skills/Tech-stack
AI | APIs | Automation | Azure | Cloud Computing | Data Engineering | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Data mesh | DataOps | ETL | Performance Monitoring | Python | SQL | Scripting | Security | Troubleshooting | Visualization
Education
Roles
Regions
Countries
States
District of Columbia, US | Georgia, US | Texas, US | Illinois, US | New York, US | California, US | Washington, US
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