Data Engineer
Dallas, TX, United States
USD 126K-160K (estimate) Mid-level Full Time
Tasks
- Design ETL/ELT pipelines
- Design enterprise data models and data architecture
- Develop sql queries stored procedures and views
- Ensure data quality, governance, and documentation
- Evaluate emerging data platform technologies
- Gather business requirements
- Maintain enterprise data integrations
- Manage source control and deployments with Azure DevOps
- Monitor troubleshoot and optimize data pipeline performance
- Prepare optimized datasets for Power BI
- Use AI-assisted development tools
Perks/Benefits
- Childcare resources
- Dental insurance
- Flexible scheduling
- Floating holidays
- Health insurance
- Internal training programs
- New parent leave
- Paid time off
- Retirement plan match
- Student loan matching
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Azure | Azure Cloud | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Warehousing | Databricks | Dimensional Modeling | ELT | ETL | Git | Microsoft Fabric | Power BI | Python | REST APIs | SQL | SQL Server | SQL stored procedures | SSIS | Semi-structured | Semi-structured Data | Snowflake | Stored Procedures | Structured data | T-SQL
Education
N/A
Roles
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