Data Engineer

(ID:

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 decisionmaking 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 theNational Cancer Institute (NCI). While local candidates who can work onsite as needed are preferred we welcome applications from all qualified candidates.

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 aData Engineer with a focus onPalantir 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 wellstructured and leveraged for cuttingedge 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 Foundrys tools (Pipeline Builder Code Workbooks etc. to prepare highquality data for researchers. Leverage Foundrysdata lineage features to track data provenance and ensure reproducibility of analyses.
• Data Modeling & Ontology: Define and manage the FoundryOntology 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. Ensuredata 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 Foundrydashboarding solutions for researchers to visualize and explore data. When necessary use Palantir Foundrys APIs or tools tointegrate Foundry data with external applications or publicfacing web pages enabling broader access to key insights (a plus).

Required Qualifications

• Education & Background: Bachelors 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 dataintensive role preferably supporting analytics or research teams.
• Data Engineering Expertise: Strong proficiency in Python and SQL for data manipulation and scripting. Handson experience building ETL processes or data pipelines to handle large datasets. Familiarity with big data processing (e.g. usingSpark/PySpark for scalable data transformations required.
• Analytical Skills: Solid understanding of data modeling and database concepts. Ability to work with complex multimodal datasets (structured and unstructured) and optimize data workflows for performance.
• Best Practices: Knowledge of software engineering and data engineering best practices version control (Git) code review testing and documentation. Experience ensuring data quality and usingdata lineage or provenance tracking to audit data flow.
• Collaboration & Communication: Excellent problemsolving skills and the ability to communicate effectively with both technical and nontechnical stakeholders. Comfortable working in an interdisciplinary environment with biomedical researchers and capable of translating domain needs into technical solutions.
• Domain Alignment: Interest in biomedical science and healthcare data.Ability to quickly learn domainspecific concepts and handle sensitive research data in compliance with regulatory or privacy requirements.

Preferred Qualifications (Plus Skills)

• Palantir Foundry Experience: Handson experience with Palantir Foundry is a strong plus. Familiarity with Foundry components such asOntologyCode WorkbooksFunctionsFoundry Pipelines (Pipeline Builder)Foundry Dashboarding orObject Builder will be advantageous.
• Foundry APIs & SDKs: Knowledge of Palantirs developer tools and APIs. Experience using Foundrys Python SDKs/libraries (e.g.foundrydevtools FoundryTransforms APItitaniumsdk to develop pipeline code or automate tasks. Experience withPySpark in Foundry or similar big data platforms for data transformations.
• Data Lineage & Integration: Deep understanding of FoundrysData Lineage capabilities and how to utilize them for impact analysis and audit trails. Experience integrating Foundry with external systems viaREST APIs or building custom applications that connect to Foundry data. Experience linking Foundry outputs topublicfacing web pages or external dashboards is a plus.
• Biomedical Domain Knowledge: Previous experience in biomedical research healthcare analytics or pharmaceutical R&D projects. Familiarity with biomedical data standards or datasets (e.g. clinical trial data clinical imaging transcriptomics/genomic data HL7/FHIR or CDISC standards) and an understanding of the scientific research process will help you excel in this role.

About the Team

You will join a multidisciplinary team at the intersection of data engineering and biomedical science. Our mission is to harness Palantir Foundrys platform to accelerate scientific insights enabling researchers tounlock value from data in areas like drug discovery genomics and public health. If you are passionate about data engineering and eager to apply your skills to improve biomedical research we encourage you to apply.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills responsibilities duties and/or assignments required. Individuals may be required to perform duties outside of their position job description or responsibilities as needed.

The diversity of Axles employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age race gender religion national origin disability marital status covered veteran status sexual orientation status with respect to public assistance and other characteristics protected under state federal or local law and to deter those who aid abet or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact:

This role has a marketcompetitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidates experience qualifications skills and location.

Salary Range

$120000 $160000 USD