Data Engineer
Tasks
- Apply enterprise data management standards
- Build reusable data workflows for analytics
- Collaborate with stakeholders to deliver data solutions
- Design ETL/ELT pipelines
- Develop Lakehouse architecture solutions
- Develop SQL and Python data processing
- Implement batch and streaming ingestion frameworks
- Implement data quality controls
- Ingest and transform data from structured and unstructured sources
- Maintain data lineage and metadata
- Manage and optimize data in data platforms
- Monitor and optimize database and pipeline performance
- Support data governance documentation validation and quality assurance
- Troubleshoot pipeline integration and performance issues
Perks/Benefits
- Federal holidays off
- Flexible PTO
- Professional development support
- Remote work
- Tuition reimbursement
- Wellness stipends
Skills/Tech-stack
Batch Processing | Data Governance | Data Ingestion | Data Lineage | Data Management | Data Quality | Databricks | ELT | ETL | Enterprise Data | Enterprise Data Management | Graph Databases | JSON | Lakehouse | Metadata Management | Microsoft Excel | Python | REST APIs | SQL | SQL Server | Streaming | Unity Catalog | XML
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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