Data Science Engineer — TS​/SCI Clearance | Pipelines

Data Science Engineer

As a Data Science Engineer, you will build advanced technology solutions and implement data science and engineering activities on mission‑driven projects. Your responsibilities include deploying and developing workflows, pipelines, and platforms that organize disparate data into actionable insights, collaborating with a multi-disciplinary team of analysts, data scientists, engineers, and developers in a fast‑paced, agile environment.

• 4+ years of experience with Python, SQL, ETL, and data pipelines.
• Experience with containers or container orchestration technologies such as Kubernetes.
• Experience with data engineering concepts and implementations.
• Experience writing source code for new applications or enhancing existing code.
• Experience creating solutions to complex problems within a collaborative, cross‑functional team.
• Bachelor's degree.
• TS/SCI clearance with polygraph.
• Nice if you have:
• 1+ year experience with Spark, containerization, ELK, or Open Search.
• Experience acquiring client requirements and designing solutions based on those requirements.
• Experience with AWS technologies, including S3.
• Experience with infrastructure‑as‑code languages such as Terraform.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Salary range: $77,600.00 to $ annually (USD). The range reflects a typical salary for this position and is one component of the total compensation package.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.