Data Engineer

(ID: 2025-0104)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a Data Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the National Cancer Institute (NCI) located in Rockville, MD.

Benefits We Offer:

• 100% Medical, Dental & Vision Coverage for Employees
• Paid Time Off and Paid Holidays
• 401K match up to 5%
• Educational Benefits for Career Growth
• Employee Referral Bonus
• Flexible Spending Accounts:
  • Healthcare (FSA)
  • Parking Reimbursement Account (PRK)
  • Dependent Care Assistant Program (DCAP)
  • Transportation Reimbursement Account (TRN)

We are seeking a Data Engineer with a focus on Palantir Foundry to support biomedical science and data analysis projects. In this role, you will build and optimize data pipelines within the Palantir Foundry environment, helping integrate and analyze complex biomedical datasets. You will collaborate closely with scientists and researchers to ensure data is accessible, well-structured, and leveraged for cutting-edge biomedical research and discovery.

Key Responsibilities

• Data Pipeline Development: Design, build, and maintain data pipelines in Palantir Foundry to ingest, transform, and integrate diverse biomedical data sources (e.g. clinical, genomic, experimental data) for analysis.
• Foundry Platform Utilization: Develop transformations and workflows using Foundry’s tools (Pipeline Builder, Code Workbooks, etc.) to prepare high-quality data for researchers. Leverage Foundry’s data lineage features to track data provenance and ensure reproducibility of analyses.
• Data Modeling & Ontology: Define and manage the Foundry Ontology and object models to represent biomedical entities and relationships. Work with domain experts to map raw data to meaningful Ontology objects, enabling consistent data usage across projects.
• Collaboration: Work closely with data scientists, bioinformaticians, and research teams to gather requirements and deliver data solutions. Translate scientific data needs into technical specifications, and ensure that data engineering output accelerates biomedical research workflows.
• Quality & Governance: Implement data validation checks and follow best practices for data governance. Ensure data quality, integrity, and security within Foundry, including documentation of transformations and adherence to compliance policies (e.g. patient data privacy).
• Dashboarding & Integration: Create or support interactive Foundry dashboarding solutions for researchers to visualize and explore data. When necessary, use Palantir Foundry’s APIs or tools to integrate Foundry data with external applications or public-facing web pages, enabling broader access to key insights (a plus).

Required Qualifications

• Education & Background: Bachelor’s degree in Computer Science, Data Science, Bioinformatics, or a related field (or equivalent practical experience). Proven experience as a data engineer or in a similar data-intensive role, preferably supporting analytics or research teams.
• Data Engineering Expertise: Strong proficiency in Python and SQL for data manipulation and scripting. Hands-on experience building ETL processes or data pipelines to handle large datasets. Familiarity w