Data Engineer
Tasks
- Collaborate with BI developers for Power BI semantic models
- Design build and maintain ETL/ELT data pipelines
- Develop and manage lakehouse architecture for analytics
- Develop support data integrations and APIs
- Establish monitoring observability and alerting
- Implement data governance, security, and compliance standards
- Implement data validation monitoring and reconciliation
- Maintain documentation for data pipelines data models and architecture
- Optimize performance scalability and storage for data workflows
- Partner with stakeholders to deliver scalable data solutions
- Prepare governed AI ready datasets and metadata
Perks/Benefits
- Continuing education resources
- Dental and vision plans
- Employer HSA contributions
- Employer paid disability coverage
- Employer paid professional dues and licenses
- Employer-paid life insurance
- Family planning assistance program
- Heavily subsidized medical insurance
- Organization paid holidays
- Paid parental leave
- Safe Harbor 401k plan
- Subsidized fitness programs
- Unlimited PTO
Skills/Tech-stack
API Integration | APIs | Access Control | Azure Data | Azure Data Factory | Azure SQL | Data Catalog | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Security | Delta Lake | Distributed Computing | ELT | ETL | Encryption | Indexing | Lakehouse | Microsoft Fabric | Microsoft Purview | Partitioning | Power BI | Power BI Semantic Model | PySpark | Role-Based Access | Role-Based Access Control | SQL | Semantic Model
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science
Roles
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