Sr. Data Engineer
Dallas, Texas, United States
USD 114K-135K (estimate) Senior-level Full Time
Tasks
- Assess security performance cost governance and orchestration testing
- Build scalable data models for BI tools
- Design canonical IDs master data patterns and entity resolution
- Design data pipelines
- Guide best practices for Azure Synapse Spark and Delta Lake
- Identify architectural gaps and modernization risks
- Implement data quality checks reconciliation and validation
- Implement logging error handling and restartability
- Manage data cataloging lineage metadata and governance
- Mentor data team members and improve engineering maturity
- Modernize legacy SQL processes into cloud pipelines
- Optimize pipeline performance and reliability
- Review notebooks SQL scripts and orchestration workflows
Perks/Benefits
- 401k contributions
- Dental insurance
- Equity purchase program option
- Flexible spending accounts
- Flexible working arrangements
- Healthcare Savings Accounts
- Medical insurance
- Paid Holidays
- Paid time off
- Vision insurance
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | BI | Canonical IDs | Data Cataloging | Data Factory | Data Governance | Data Lake Storage | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Delta Lake | Dependency management | Dimensional Modeling | ELT | ETL | Entity Resolution | Error Handling | Logging | Metadata Management | Microsoft Fabric | Observability | Orchestration | Performance Tuning | Power BI | PySpark | Reconciliation | Restartability | SQL | Scheduling | Schema drift | Spark | Synapse Analytics | ThoughtSpot
Education
N/A
Roles
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