Lead Data Engineer
Work at Home - Kentucky, United States
R
USD 142K-195K Senior-level Full Time
Tasks
- Build cloud data platforms
- Design cloud data pipelines
- Develop ETL/ELT workflows
- Develop MuleSoft API integrations
- Ensure data quality and compliance
- Implement CI/CD for data
- Implement secure data sharing
- Mentor data engineers code reviews
- Migrate on premises SQL Server to Snowflake
- Optimize Snowflake performance
- Optimize data models storage patterns and compute usage
- Orchestrate data pipelines
- Troubleshoot complex data issues
- Use infrastructure as code
Perks/Benefits
- 401k retirement plan
- Equipment provided for work
- Life insurance
- Long-term disability
- Medical, dental, and vision benefits
- Paid parental and caregiver leave
- Paid time off
- Remote work
- Short-term disability
- Volunteer time off
Skills/Tech-stack
Azure | Azure Bicep | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Functions | Azure Key Vault | Azure Storage | CI/CD | Data Architecture | Data Factory | Data Modeling | Data pipeline | Data pipeline orchestration | Distributed Systems | ELT | ETL | Infrastructure as Code | Key Vault | Microsoft SQL | Microsoft SQL Server | MuleSoft | Observability | Pipeline Orchestration | Python | RBAC | SQL | SQL Server | Snowflake | Terraform | Testing | Version control | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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