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Data Engineer
| Company | Axle |
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| Location | North Bethesda, MD, USA |
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| Salary | $120000 – $160000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level |
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Requirements
- 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
- 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 with big data processing (e.g. using Spark/PySpark) for scalable data transformations required
- Solid understanding of data modeling and database concepts
- Ability to work with complex, multi-modal datasets (structured and unstructured) and optimize data workflows for performance
- Knowledge of software engineering and data engineering best practices – version control (Git), code review, testing, and documentation
- Experience ensuring data quality and using data lineage or provenance tracking to audit data flow
- Excellent problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders
- Interest in biomedical science and healthcare data
- Ability to quickly learn domain-specific concepts and handle sensitive research data in compliance with regulatory or privacy requirements.
Responsibilities
- 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
- Develop transformations and workflows using Foundry’s tools (Pipeline Builder, Code Workbooks, etc.) to prepare high-quality data for researchers
- Define and manage the Foundry Ontology and object models to represent biomedical entities and relationships
- Work closely with data scientists, bioinformaticians, and research teams to gather requirements and deliver data solutions
- Implement data validation checks and follow best practices for data governance
- Create or support interactive Foundry dashboarding solutions for researchers to visualize and explore data
Preferred Qualifications
- Hands-on experience with Palantir Foundry is a strong plus
- Familiarity with Foundry components such as Ontology, Code Workbooks, Functions, Foundry Pipelines (Pipeline Builder), Foundry Dashboarding, or Object Builder will be advantageous
- Knowledge of Palantir’s developer tools and APIs
- Experience using Foundry’s Python SDKs/libraries (e.g. foundry-dev-tools, Foundry Transforms API, titanium-sdk) to develop pipeline code or automate tasks
- Experience with PySpark in Foundry or similar big data platforms for data transformations
- Deep understanding of Foundry’s Data Lineage capabilities and how to utilize them for impact analysis and audit trails
- Experience integrating Foundry with external systems via REST APIs or building custom applications that connect to Foundry data
- Experience linking Foundry outputs to public-facing web pages or external dashboards is a plus
- 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.
