Solutions Engineer - Data Engineering
US - TX - Home Office, United States
USD 156K-181K Mid-level Full Time
Tasks
- Build data transformation pipelines
- Configure Azure Data Lake Storage Gen2
- Create technical documentation
- Design data ingestion pipelines
- Develop ETL and ELT processes
- Develop data models
- Implement data Lakehouse solutions
- Implement data governance practices
- Implement data security best practices
- Implement data validation and quality controls
- Implement data warehouse solutions
- Perform code reviews
- Prepare data for analytics and reporting
- Set up data pipeline monitoring
- Support production troubleshooting and optimization
- Translate business requirements into technical solutions
Perks/Benefits
- Continuous professional growth
- Financial benefits
- Health and wellness benefits
- Home office setup provided
- Leadership opportunities
- Remote work
- World-class facilities
Skills/Tech-stack
800-53 | Access Management | 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 Security | Data Warehouse | Databricks | ELT | ETL | Encryption | HIPAA | Identity and Access Management | Identity and access | Infrastructure as Code | Microsoft Azure | Microsoft Fabric | Microsoft SQL | Microsoft SQL Server | NIST 800 | NIST 800-53 | PII handling | Power BI | SQL Database | SQL Server | Synapse Analytics | “as-code”
Education
N/A
Roles
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