About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Business Consulting and Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking a senior Data Scientist / Data Integration Engineer with strong Palantir Foundry experience to build repeatable data products that support mission-critical decisions. You will work with cross-functional stakeholders to integrate, model, and visualize complex datasets and to operationalize analytics in secure environments.

• Work primarily inside Palantir Foundry to integrate disparate data sources, profile and cleanse data, and produce reusable data pipelines and transforms.
• Build and maintain low-code and code-based pipelines using Foundry Pipeline Builder and Contour; validate and monitor data quality.
• Extend and maintain the Ontology (objects, links, actions) to model mission data in a scalable, reusable way.
• Design and iterate analyst- and leadership-facing applications using Workshop and Quiver; create dashboards and visualizations that match stakeholder decision workflows.
• Perform exploratory and recurring analysis to define KPIs, surface anomalies, and communicate results with clear caveats and data-quality notes.
• Act as a senior data advisor: elicit requirements, advise on analytic feasibility, and translate ambiguous questions into concrete, deliverable data products.
• Apply Foundry markings and permissions and work with system owners to enforce need-to-know access controls and data-sharing agreements.

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Qualifications

• Bachelor’s degree in Data Science, Information Technology, Computer Science, or related field (or equivalent experience).
• 3+ years hands-on experience using Palantir Foundry; Foundry Data Engineer certification preferred (experience may substitute for certification).
• Strong programming skills in SQL and Python (PySpark experience preferred).
• Proven experience with data modeling and architecture (canonical models, normalization, star schemas).
• Experience with API data contracts and schemas (JSON Schema) and with designing repeatable ETL/ELT processes.
• Clear written and verbal communication skills for presenting technical findings to non-technical stakeholders.

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Technical Skills (must-haves)

• Palantir Foundry — Pipeline Builder, Contour, Ontology, Workshop, Quiver
• SQL (advanced)
• Python and PySpark
• Data modeling and architecture
• JSON Schema / API contract knowledge
• Data profiling, validation, and monitoring practices

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Bonus / Preferred Experience

• Familiarity with federal data governance and security: FedRAMP, CUI handling, ATO processes, Section 508 accessibility, records retention
• Experience applying fine-grained access controls and data markings in Foundry
• Prior consulting or client-facing experience in the public sector

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Employment Details

• Job type: Full-time
• Employment type: FULL_TIME
• Schedule: 8 hour shift, Monday to Friday
• Work location: Hybrid — Onsite in Washington, D.C.; some flexibility may be available depending on project requirements.
• Education: Bachelor's degree required (or equivalent experience)

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Benefits

• 401(k)
• Health, dental, and vision insurance
• Life insurance
• Paid time off and parental leave (where offered)

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Additional Notes

Confidential Client is HUBZone certified and encourages applicants who live in a HUBZone as designated by the SBA to apply. Candidates will be asked to demonstrate relevant Foundry experience; Foundry Certification is preferred but not required if equivalent hands-on experience is available.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.