Palantir Developer

Job Family:

Data Science & Analysis

Travel Required:

None

Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

• Design, develop, configure, and maintain data integration, analytics, and operational solutions using Palantir Foundry and related enterprise data platforms.
• Build and maintain scalable data pipelines, transformations, and reusable data products supporting operational reporting, advanced analytics, AI, and decision support.
• Develop and maintain Palantir Ontology models, business objects, relationships, actions, and workflows that support operational and analytical use cases.
• Design and develop user-facing applications using Foundry Workshops and other Palantir application development capabilities.
• Integrate data from cloud platforms, enterprise applications, APIs, databases, and external data sources using scalable and secure integration patterns.
• Develop and optimize solutions using Python, SQL, and other modern programming languages for large-scale data processing and analytics.
• Implement data quality, validation, metadata management, lineage, and governance practices to ensure trusted, reusable, and well-documented data assets.
• Collaborate with data engineers, architects, data scientists, analysts, product owners, and business stakeholders to translate mission and business requirements into scalable technical solutions.
• Support Agile software development activities including sprint planning, backlog refinement, testing, deployment, troubleshooting, and continuous improvement.
• Prepare technical documentation including system diagrams, data flow diagrams, solution documentation, standard operating procedures, and implementation guides.
• Support technical modernization initiatives involving cloud platforms, enterprise data ecosystems, and AI-enabled analytics solutions.
• Ability to obtain and maintain a Public Trust or higher federal security clearance, as required.

What You Will Need:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or related field (or equivalent professional experience).
• Experience developing solutions using Palantir Foundry, including data pipelines, transformations, data products, and application development.
• Experience developing Foundry Workshops and operational applications.
• Experience designing and implementing Ontology models supporting operational or analytical workflows.
• Strong proficiency with SQL and Python (particularly PySpark)
• Experience integrating structured and unstructured data from multiple enterprise data sources.
• Experience implementing data quality, validation, testing, and governance processes.
• Experience working with cloud platforms (Azure, AWS, Google cloud services) and modern enterprise data architectures.
• Familiarity with Agile software development methodologies and DevSecOps best practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment while delivering high-quality technical solutions.
• Experience implementing enterprise data governance, metadata management, lineage, and role-based access controls.
• Experience working in fast-paced, matrixed organizations

What Would Be Nice To Have:

• Experience with Palantir Artificial Intelligence Platform (AIP).
• Experience integrating Palantir with Databricks, Apache Spark, Azure Data Factory, Azure Data Lake, Microsoft Fabric, or AWS services.
• Experience supporting AI/ML, natural language processing, knowledge graphs, semantic search, or advanced analytics solutions.
• Experience supporting public health, healthcare, life sciences, biomedical research, or epidemiology programs.
• Experience working with health data and health data standards such as FHIR, HL7, LOINC, SNOMED CT, or laboratory and surveillance data.
• Experience supporting federal agencies such as CDC, HHS, NIH, CMS, FDA, or VA.
• Experience in consulting environments supporting multidisciplinary technical teams.
• Palantir Foundry, Palantir AIP, Azure, AWS, Databricks, or related technical certifications.

The annual salary range for this position is $85,000.00-$141,000.00. 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

• Parental Leave

• 401(k) Retirement Plan

• Group Term Life and Travel Assistance

• Voluntary Life and AD&D Insurance

• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

• Transit and Parking Commuter Benefits

• Short-Term & Long-Term Disability

• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Care.com annual membership

• Employee Assistance Program

• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

• Position may be eligible for a discretionary variable incentive bonus

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.

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.