Palantir Integration Engineer

• 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.

• 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.

Pulled from the full job description

• Referral program
• Tuition reimbursement
• Parental leave
• 401(k)
• Health insurance
• Vision insurance
• Health savings account, The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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.