Data Engineer
Dallas TX, United States
USD 100K-144K (estimate) Mid-level Full Time
Tasks
- Apply data governance and access control
- Build API first data services
- Build lakehouse and warehouse structures
- Create transformation layers for BI and AI
- Design and build ETL/ELT pipelines
- Develop data models and curated datasets
- Develop event driven integration workflows
- Implement data orchestration and scheduling
- Implement data quality checks and validation
- Integrate enterprise systems data
- Maintain data lineage and documentation
- Monitor pipelines and integrations
- Perform incident response and troubleshooting
- Prepare datasets for AI and machine learning use cases
- Support secure data delivery for business teams
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Authentication | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Logic | Azure Logic Apps | CI/CD | DBT | Data Factory | Data Governance | Data Modeling | Data Quality | Data Transformation | Data Warehouse | ELT | ETL | Error Handling | Event Grid | Git | GitHub Enterprise | JSON | Kafka | Lakehouse | Logic Apps | Machine Learning | Microsoft Azure | Microsoft Fabric | PostgreSQL | Power BI | Power BI Semantic Model | Python | RAG | REST | Retry strategies | SOAP | SQL | Semantic Model | Service Bus | Spark | Webhooks
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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