Senior Data Engineer (TS/SCI Required)
- Develop and design data pipelines to support an end-to-end solution.
- Develop and maintain artifacts i.e., schemas, data dictionaries, and transforms related to ETL processes.
- Manage production data within multiple datasets ensuring fault tolerance and redundancy.
- Design and develop robust and functional dataflows to support raw data and expected data.
- Collaborate with the rest of data engineering team to design and launch new features. Includes coordination and documentation of dataflows, capabilities, etc.
- Design and develop databases to support multiple user groups with various levels of access to raw and processed data.
- Apply a knowledge of the SDLC to bring applications from proof of concept to production, including on the TS network.
- Bachelor's degree required
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Active TS/SCI security clearance required
- 4+ years of experience working with software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
- 4+ years of experience with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, Redis, and graph databases such as Neo4j, Memgraph, or others.
- Ability to work on-site in Tampa, FL 5 days per week
- Experience administering Linux/Unix servers
- Experience implementing ML pipelines using scikit-learn, NLTK, spaCy, and others.
- Experience building Generative AI pipelines using vector databases, NER, and RAG.
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