Solutions Engineer - Data Engineering
US - TX - Home Office, United States
USD 156K-181K Mid-level Full Time
Tasks
- Build data lakehouse and warehouse solutions
- Collaborate on data models for analytics and AI
- Configure Azure Data Lake Storage Gen2
- Design data ingestion pipelines
- Develop data transformation and integration pipelines
- Follow source control and CI/CD practices
- Implement data governance and lineage
- Implement data validation and quality controls
- Maintain ETL and ELT processes
- Perform code reviews testing and quality assurance
- Produce technical documentation and runbooks
- Set up monitoring and operational reporting
- Translate business requirements into technical designs
- Troubleshoot optimize and support production data platforms
Perks/Benefits
- 401k
- Flexible spending
- Health benefits
- Leadership opportunities
- Professional growth opportunities
- Remote work
- World-class facilities
Skills/Tech-stack
800-53 | Access Management | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lakehouse | Data Lineage | Data Modeling | Data Validation | Data Warehouse | ELT | ETL | Encryption | HIPAA | Identity and Access Management | Identity and access | Infrastructure as Code | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | NIST 800 | NIST 800-53 | PII | SQL | SQL Database | SQL Server | Source Control | Synapse Analytics | “as-code”
Education
N/A
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