Palantir Data Engineer
Tysons Corner, VA - USA
Job Summary
Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
We are seeking a Palantir Data Engineer to design build and operate ontology-driven data products in Palantir Foundry (SaaS). This role emphasizes semantic data modeling entity-centric design and ontology-backed analytics and operational workflows rather than pure pipeline engineering alone.
You will work closely with product owners analysts and mission stakeholders to translate real-world domainssuch as case management operations and reportinginto well-governed ontologies composed of entities relationships properties and actions. You will then implement and maintain the data pipelines and transformations that reliably populate and evolve those ontologies.
This role is ideal for an engineer who enjoys ontology-first thinking data product design strong governance and enabling both analytics and operational use cases from a shared semantic foundation.
What You Will Do:
Ontology Design & Semantic Data Modeling (Primary Focus)
- Design implement and maintain Palantir Foundry Ontologies including entities relationships properties actions and permissions.
- Translate business processes and domain requirements into clear reusable entity and relationship models.
- Ensure semantic consistency across datasets by enforcing standardized definitions naming conventions and relationship patterns.
- Evolve ontologies over time while maintaining lineage backward compatibility and data contracts.
Build & Operate Foundry Pipelines Supporting the Ontology
- Design and implement ingestion pipelines into Foundry from APIs relational databases object storage file drops and external partners.
- Build transformation logic that materializes ontological entities and relationships from raw and curated data sources.
- Implement incremental processing and CDC patterns to keep ontology-backed data current.
- Optimize pipeline performance and reliability while maintaining clarity between raw curated and ontology-backed layers.
Deliver Ontology-Backed Analytics & Case Management Data Products
- Produce analysis-ready datasets that power case views entity timelines dashboards cohort analysis and trend reporting.
- Enable self-service analytics by ensuring ontology-backed datasets are intuitive well-documented and reusable.
- Support both human workflows (case review operations) and analytical/ML consumption from the same semantic foundation.
Governance Lineage & Data Quality
- Ensure datasets and entities are fully documented with ownership descriptions and business definitions.
- Maintain end-to-end lineage from source systems through transformations into ontological entities.
- Implement policy-based access controls and secure handling aligned to organizational and compliance requirements.
- Operationalize data quality checks (freshness completeness validity) tied to mission-critical entities.
Reliability Performance & Operational Excellence
- Monitor pipelines and ontology-backed datasets using metrics logs and alerts.
- Troubleshoot failures conduct root-cause analysis and implement preventive improvements.
- Support environment promotion practices (DEV / TEST / PRE-PROD / PROD) with repeatable and auditable processes.
Cross-Team Collaboration
- Partner with platform engineering security analytics and application teams to align ontology design with operational needs.
- Communicate complex ontology and data concepts clearly to both technical and non-technical stakeholders.
- Participate in design and architecture reviews related to ontology evolution and data modeling standards.
What You Will Need:
- A Bachelors degree is required
- A minimum of 3 years of experience building and operating production data pipelines and data models is required
- Hands-on experience with Palantir Foundry or strong data engineering experience with the ability to ramp quickly.
- Palantir Foundry Ontology experience including:
- Entity and relationship modeling
- Ontology-backed actions and workflows
- Permissioning and governance within the ontology
- Strong proficiency in SQL and at least one data engineering language (Python preferred; Scala/Java acceptable).
- Experience implementing ETL/ELT pipelines incremental processing and transformation best practices.
- Familiarity with governance fundamentals including metadata lineage access controls and data quality.
- Strong communication skills and experience working directly with product and mission stakeholders.
What Would Be Nice To Have:
- Palantir Application Developer experience building operational applications and workflows on top of the ontology.
- Bachelors degree in Engineering Computer Science Information Systems or a related field (or equivalent practical experience).
- Palantir AIP experience including:
- Ontology-backed document understanding and summarization
- Entity extraction and enrichment
- Human-in-the-loop review with governance controls
- Generative AIassisted coding experience such as:
- Using AI copilots for pipeline development transformations ontology evolution and code review
- Applying generative AI to improve developer productivity while maintaining data quality and governance
- Experience supporting ontology-first designs for case management systems.
- Knowledge of entity resolution relationship extraction and graph-based modeling.
- Familiarity with Databricks Spark or lakehouse architectures in hybrid environments.
- Exposure to CI/CD practices for data pipelines and ontology changes.
What We Offer:
Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical Rx Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
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Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Required Experience:
IC
About Company
Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.