Senior Data Engineer
Tasks
- Build transformation pipelines
- Collaborate with product analytics data science and engineering
- Design and implement data pipelines
- Ensure reliability scalability and maintainability
- Establish data modeling and pipeline standards
- Implement layered data models
- Implement monitoring alerting and data quality checks
- Mentor engineers through code reviews
- Perform incident response and root cause analysis
- Translate architectural patterns into production systems
Perks/Benefits
- 401k matching
- Employee assistance program
- Employee stock ownership
- Family building benefits
- Insurance benefits
- Mass transit reimbursement
- On site work three days per week
- Reimbursements and wellbeing activities
Skills/Tech-stack
AWS | Airflow | BigQuery | Cause analysis | Cloud Data | Cloud Data Platforms | DBT | Dagster | Data Engineering | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data platforms | Databricks | Incident Response | Monitoring | Observability | Python | Root Cause Analysis | Root cause | SQL | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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