Data Engineer (Hybrid)
USD 86K-165K Mid-level Full Time
Tasks
- Apply data classification rules
- Automate data governance frameworks
- Build data pipelines
- Build scalable data architectures
- Deliver data to databases
- Design data pipelines
- Enable AI ML
- Enable analytics
- Enable digital products
- Enforce data access controls
- Ensure data integrity
- Improve performance
- Improve resiliency
- Increase observability
- Ingest structured data
- Ingest unstructured data
- Maintain data pipelines
- Optimize data workflows
- Protect data with security mechanisms
- Segment data domains
- Support access auditability
- Track data lineage
- Transform data
Perks/Benefits
- 401k matching
- Adoption Assistance
- Child and elder care services
- Disability coverage
- Employee assistance plan
- Flexible spending accounts
- Hybrid work schedule
- Life insurance
- Medical, dental, and vision insurance
- Parental leave
- Second opinion program
- Student loan repayment program
- Tuition reimbursement
- Virtual doctor visits
- Wellness rewards
Skills/Tech-stack
AWS | AWS Glue | Access Control | Agile | Amazon EMR | Apache Spark | Cloud Computing | Cloud platform | CloudFormation | Data Access Control | Data Governance | Data Lineage | Data Modeling | Data Security | Data access | Databricks | Distributed Systems | Document processing | ELT | ETL | GitHub Actions | Google Cloud | Google Cloud Platform | Image Processing | Jenkins | Microsoft Azure | OCR | OCR Text Extraction | PySpark | Python | SQL | Terraform | Text extraction
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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