Lead Data Engineer
Work at Home - Kentucky, United States
R
USD 142K-195K Senior-level Full Time
Tasks
- Build cloud-native data platforms
- Collaborate with architects and analysts
- Conduct root cause analysis
- Create data models and workflows
- Design cloud data pipelines
- Develop MuleSoft API integrations
- Ensure data quality and compliance
- Evaluate and introduce new data tools
- Implement infrastructure-as-code
- Implement secure data pipelines
- Mentor data engineers
- Migrate SQL Server pipelines to Snowflake
- Monitor observability metrics
- Optimize Snowflake performance
- Perform code reviews
- Set up CI CD for data
- Troubleshoot complex data issues
Perks/Benefits
- 401k
- Life insurance
- Long-term disability
- Medical/Dental/Vision
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Remote work
- Short-term disability
- Volunteer time off
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Storage | Bicep | CI/CD | Data Factory | Data Governance | Data Modeling | Data Quality | Data Sharing | Data integration | Data orchestration | Databricks | Distributed Systems | ELT | ETL | Git | Infrastructure as Code | MuleSoft | Observability | Python | RBAC | SQL | Secure Data | Secure Data Sharing | Snowflake | Streams | Tasks | Terraform | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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