Lead Data Engineer
Seattle, Washington, United States
USD 175K-220K Senior-level Full Time
Tasks
- Automate data operations
- Build data quality monitoring
- Build data warehouse solutions
- Build reporting solutions
- Define data modeling best practices
- Design data access patterns
- Develop ELT pipelines
- Develop ETL pipelines
- Develop batch workflows
- Develop event-driven workflows
- Establish coding standards
- Implement data monitoring
- Implement data pipeline testing
- Implement pipeline orchestration
- Improve data architecture
- Improve data governance
- Improve data observability
- Integrate human workflows with automation
- Lead data pipeline design
- Mentor data engineers
- Modernize data tooling
- Optimize data pipeline performance
- Partner with product engineering and data platform teams
- Reduce operational overhead
- Review code and processes
- Translate requirements into technical solutions
Perks/Benefits
- 401k match
- Company events
- Disability insurance
- Educational stipend
- Employee assistance program
- Employee referral program
- Employee resource groups
- Life insurance
- Matching gifts program
- Paid family leave
- Paid paternity leave
- Paid sabbatical
- Quarterly team-building events
- Sick days
- Subsidized emergency childcare
- Transportation stipend
- Tuition reimbursement
- Vacation days
- Volunteer days
Skills/Tech-stack
AI machine learning | AWS | Airflow | Azure | BI | Cloud platform | Data Architecture | Data Governance | Data Modeling | Data Monitoring | Data Quality | Data Testing | Data Warehousing | Data orchestration | Data pipeline | ELT | ETL | Google Cloud | Google Cloud Platform | Machine Learning | Observability | Power BI | Python | SQL | Snowflake | System design | Tableau
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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