Senior Data Engineer
Tasks
- Architect data pipelines
- Build analytical infrastructure
- Build real time and batch surveillance data pipelines
- Collaborate with quantitative engineers
- Create developer tooling for pipeline monitoring
- Develop data quality frameworks
- Drive data governance and privacy best practices
- Enhance reliability, performance, and efficiency
- Ensure data accuracy, security, and compliance
- Load and format datasets for machine learning consumption
- Optimize databases for performance
- Own and curate surveillance datasets
- Translate surveillance requirements into data solutions
Perks/Benefits
- 401k match
- Dental insurance
- Education reimbursement
- Employee assistance program
- Health insurance
- Learning opportunities
- Retirement plan
- Vision insurance
- Wellness screenings
Skills/Tech-stack
Batch Processing | Compliance | Data Governance | Data Pipelines | Data Processing | Data Quality | Data Security | Database optimization | Java | Linux | Pandas | Polars | Python | Real Time | Real-time Data | Real-time Data Processing | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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