Senior Engineering Manager, Data Engineering
Denver, Colorado, United States; San Francisco, California, United States
USD 227K-316K Senior-level Full Time
Tasks
- Build scalable data architecture
- Design real-time and batch data pipelines
- Develop backend microservices APIs
- Drive technical vision
- Ensure production reliability
- Hire and grow talent
- Implement data lineage logging telemetry alerting
- Implement high volume low latency messaging systems
- Normalize and cleanse data
- Optimize engineering processes and policies
- Oversee project delivery
- Partner with product management
- Represent team in planning meetings
- Work with compliance and regulatory requirements
Perks/Benefits
- Fertility adoption and parental planning reimbursement
- Flexible PTO
- Learning and development allowance
- Medical, dental, and vision coverage
- Reimbursement for commuter stipend
- Relocation stipend
- Sabbatical
- Wellness stipend
Skills/Tech-stack
API Design | AWS | Alerting | Amazon EMR | Apache Spark | Application Programming | Application Programming Interfaces | Batch Processing | Big Data | CI/CD | Containerization | Data Cleansing | Data Engineering | Data Lineage | Data Modeling | Data Pipelines | Databricks | DevOps | Infrastructure as Code | Kafka | Lakehouse | Logging | Microservices | Programming interfaces | Real Time | Real-time Processing | Telemetry | Time processing | “as-code”
Education
N/A
Regions
Countries
States
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