Senior Palantir Foundry Engineer

Guidehouse•Atlanta, GA

About The Position

This role involves designing, developing, configuring, and maintaining data integration, analytics, and operational solutions using Palantir Foundry and related enterprise data platforms. The engineer will build and maintain scalable data pipelines, transformations, and reusable data products for operational reporting, advanced analytics, AI, and decision support. Key responsibilities include developing Palantir Ontology models, business objects, relationships, actions, and workflows, as well as designing and developing user-facing applications using Foundry Workshops. The role also requires integrating data from various sources, optimizing solutions with Python and SQL, implementing data quality and governance practices, and collaborating with cross-functional teams. Support for Agile software development, technical documentation, and modernization initiatives is also expected. A critical requirement is the ability to obtain and maintain a Public Trust or higher federal security clearance.

Requirements

Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or related field; in lieu of degree FOUR (4) additional years of experience is required
FOUR (4) or more years of 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.
Experience 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.

Nice To Haves

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
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 HL7, 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.

Responsibilities

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.

Benefits

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.)
Discretionary variable incentive bonus