Data Engineer
USA VA (Virtual Office), United States
R
USD 88K-154K Senior-level Full Time
Tasks
- Automate data quality remediation
- Build knowledge graphs
- Collaborate with AI/ML engineers
- Create technical documentation
- Design data pipelines
- Develop ETL processes
- Enforce data governance
- Implement data quality validation
- Implement partitioning and access control
- Ingest transform enrich threat data
- Integrate data via APIs
- Manage metadata and data catalog
- Optimize data architecture
- Participate in agile sprints
- Resolve legacy data inconsistencies
- Standardize formats to ontologies
- Support analytics and predictive modeling
- Support user guides and best practices
- Track data lineage
Perks/Benefits
- 401k
- Dental insurance
- Flexible work schedule
- Health insurance
- Holidays
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
800-171 | API Integration | AWS | Access Control | Agile | Apache Spark | Azure | Cloud Computing | Data Architecture | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Partitioning | Data Pipelines | Data Quality | Data Validation | Docker | ETL | Encryption | Knowledge graphs | Kubernetes | LLMs | Metadata Management | MongoDB | MySQL | NIST SP | NIST SP 800 | NIST SP 800-171 | Neo4j | Ontologies | PostgreSQL | Python | SP 800-171 | SQL | Semantic Search | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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