Palantir Integration Engineer

Job Title: Palantir Integration Engineer
Clearance: Must be able to obtain a US Public Trust Clearance  
Location: REMOTE 
Contact: Crystal.dinnocenti@systemone.com

RESPONSIBILITIES:

• 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.

• 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.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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