Senior Data Engineer
Tasks
- Apply infrastructure as code practices
- Architect data platform infrastructure
- Build data processing frameworks
- Collaborate with data scientists and operations
- Contribute to data engineering best practices
- Create ETL and ELT pipelines
- Design data warehouses and data lakes
- Develop streaming data systems
- Implement data validation monitoring and observability
- Mentor team members
- Optimize SQL queries and data models
- Set up CI/CD pipelines
Perks/Benefits
- 401k match
- Cell phone stipend
- Commuter benefits
- Employer HSA contributions
- Health, dental, vision insurance
- Long-term disability
- Mental health wellness support
- Paid Holidays
- Paid life insurance
- Paid parental leave
- Paid time off
- Professional development
- Restricted stock units
- Short-term disability
- Tuition reimbursement
- Volunteer time off
Skills/Tech-stack
Airflow | Apache Beam | BigQuery | C# | C++ | CI/CD | Cloud Storage | Containerization | Dagster | Data Lake | Data Validation | Data Warehouse | Dataflow | Distributed Computing | Docker | ELT | ETL | Go | Infrastructure as Code | Infrastructure automation | Java | Monitoring | Observability | Prefect | PubSub | Python | SQL | Streaming systems | “as-code”
Education
N/A
Roles
Regions
Countries
States
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