Staff Data Engineer
United States of America, Eagan, Minnesota
USD 118K-219K Senior-level Full Time Found 3d ago
Tasks
- Collaborate with stakeholders
- Design scalable data architectures
- Develop large-scale data pipelines
- Ensure data quality and compliance
- Evaluate emerging data engineering techniques
- Implement data solutions using Python and AWS
- Lead technical strategy
- Manage cloud-native data systems
- Mentor engineering teams
- Optimize data processing performance
- Translate business needs into scalable data solutions
Perks/Benefits
- Career growth
- Flexible schedules
- Hybrid work
- Industry Benefits
- Mental health days
- Retirement plans
- Social impact initiatives
- Tuition reimbursement
- Volunteer days
Skills/Tech-stack
APIs | AWS | CloudCostManagement | Data Governance | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data orchestration | Design Patterns | Distributed data | Distributed data processing | Docker | ELT | ETL | Git | Kubernetes | Monitoring | Performance optimization | Python | SQL | Security | Snowflake | Terraform | Testing
Roles
Language: en |
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