Palantir Integration Engineer

Job Family:

Travel Required:

Clearance Required:

What You Will Do:

• Lead the design, development, and deployment of data integration solutions within Palantir Foundry and related data platforms.

• Architect and implement end-to-end data pipelines, including ingestion, transformation, validation, and delivery of structured and unstructured data.

• Develop and maintain ontology models, data schemas, and relationships to support analytics, search, and operational use cases.

• Integrate data across multiple systems and platforms (e.g., cloud storage, APIs, analytics environments) using scalable and secure patterns.

• Collaborate with cross-functional teams (data engineering, analytics, product, and security) to ensure seamless system interoperability and data consistency.

• Implement data validation, quality assurance, and governance processes (e.g., completeness checks, schema validation, metadata integrity).

• Support development of AI-enabled capabilities (e.g., semantic search, entity resolution, analytics) by enabling high-quality, well-structured data pipelines.

• Operate within an Agile delivery model, contributing to sprint planning, backlog refinement, user story development, and iterative delivery of technical solutions.

• Translate business and mission needs into technical requirements and scalable integration designs.

• Ensure compliance with security, privacy, and audit requirements, including role-based access controls, logging, and data protection standards.

• Drive technical design decisions, mentor junior engineers, and act as a technical lead within a matrixed team environment.

What You Will Need:

• U.S. Citizenship is required

• Bachelor’s degree is required

• Minimum FIVE (5) years of experience in data engineering, system integration, or platform engineering roles.

• Strong hands-on experience with Palantir Foundry (required), including:

  • Building and managing data pipelines

  • Ontology/data model development and relationship mapping

  • Integration of data across multiple systems

• Experience with Palantir AIP (Artificial Intelligence Platform) (required), including development or support of AI-enabled workflows (e.g., search, analytics, decision support).

• Experience integrating Palantir with AWS cloud services, including S3-based ingestion, APIs, and serverless/data processing services (e.g., Lambda, Glue).

• Experience working with Databricks and Apache Spark for scalable data transformation, enrichment, and analytics workflows.

• Proficiency in Python, Java, or Scala, and strong SQL skills for data transformation and querying.

• Experience working with both structured and unstructured data (e.g., documents, images) to support analytics or AI use cases.

• Strong understanding of data modeling, schema alignment, and metadata management across integrated systems.

• Experience implementing data quality, validation, and governance controls.

• Familiarity with cloud security and access controls, including IAM, encryption, and audit logging.

• Proven ability to lead technical workstreams, mentor junior staff, and collaborate across cross-functional and matrixed teams.

What Would Be Nice To Have:

• Advanced experience with Palantir Foundry, including pipeline optimization, ontology design, and performance tuning at scale.

• Deep experience with Palantir AIP, including development of AI-driven workflows (e.g., semantic search, entity resolution, decision-support applications).

• Experience designing and implementing end-to-end Palantir architectures across enterprise environments.

• Experience integrating Palantir with Databricks and AWS in production environments, including complex data exchange and processing patterns.

• Experience building AI/ML-enabled data products, particularly those leveraging unstructured data (e.g., NLP, document processing, image-based analytics).

• Previous experience working with federal agencies or government environments, including familiarity with security, compliance, and data governance requirements.

• Experience working in a consulting environment and/or delivering solutions in a matrixed organization.

• Experience supporting training, user enablement, and scaling of technical capabilities across teams or organizations.

• Familiarity with ontology-driven applications, graph-based data modeling, and relationship analytics.

• Experience implementing role-based access control (RBAC) and auditability within Palantir or similar platforms.

• Relevant certifications (e.g., Palantir Foundry, AWS, Databricks) or equivalent demonstrated expertise.

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 Employer–Protected 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 1-571-633-1711 or via email at [email protected]. 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 @guidehouse.com or [email protected].  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.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

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.