Staff Data Engineer (TS/SCI with CI Polygraph) {S}
On-site · King of Prussia, Pennsylvania, United States
Job Summary
Lead and mentor a team working on the implementation of ETL pipelines to support various AI/ML and large language model (LLM) solutions. Responsibilities include assembling complex data sets, building infrastructure for optimal data extraction, implementing AI/ML algorithms, and improving internal processes for scalability. Candidates should have a B.S. in data science or a related field with at least six years of experience, including data pipeline development and using Python. An active TS/SCI security clearance with a CI polygraph is required.
Required Qualifications
- B.S. in data science, AI/ML, computer science, or related field
- Minimum six (6) years of relevant experience as a Data Engineer/Scientist
- Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)
- Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
- Active TS/SCI U.S. Government Security Clearance with a recent Counter Intelligence Polygraph (CI)
Desired Qualifications
- M.S. or PhD in Data Science, AI/ML, Computer Science, or related field
- Experience with Gitlab, DevSecOps utilizing test-driven development
- Experience with containers (e.g. Docker, Docker Compose)
- Experience with cloud services (e.g. AWS)
- Experience with distributed computing tools (e.g. Spark, Pyspark)
- Experience leading an interdisciplinary team of researchers and software developers
- Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
- Experience with Linux
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, Bedrock, etc.
- Experience with additional programming languages such as Java, C++, Rust, Go, and/or C#
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
- Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
- Experience shaping and writing proposals
Additional Requirements
- No visa sponsorship is available for this position
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