Data Engineer, Senior
USD 77K-176K Senior-level Full Time
Tasks
- Automate data workflows at scale
- Build data warehouse and data lake pipelines
- Collaborate with analysts data engineers and data consumers in agile environment
- Deploy ETL or ELT batch and streaming workflows
- Design scalable data platforms
- Develop RESTful API models for data systems
- Implement data catalog data usage governance and lifecycle management
- Manage assessment, design, building, and maintenance of data platforms
- Obtain and maintain security clearance eligibility
- Process and parse structured and unstructured data
- Tune data lake architecture for storage and pipeline performance
Perks/Benefits
- Dependent care
- Paid leave
- Professional development
- Remote or hybrid or onsite work options
- Tuition assistance
- Work-life programs
Skills/Tech-stack
800-53 | AWS | AWS EMR | AWS Glue | Access Control | Amazon Redshift | Apache Airflow | Apache NiFi | Apache Spark | Azure Data | Azure Data Factory | Azure Dataverse | CI/CD | Cosmos DB | Data Catalog | Data Factory | Data Governance | Data Lake | Data Security | Data Warehouse | Databricks | Distributed Computing | ELT | ETL | Elasticsearch | Event Processing | FISMA | GitHub Actions | Google BigQuery | Java | Jenkins | Microsoft Azure | MongoDB | NIST 800 | NIST 800-53 | NoSQL | Power Apps | Python | RESTful API | SQL | Scala | Snowflake | Solr
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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