Palantir Integration Engineer

Job Title:

Palantir Integration Engineer

Clearance:
Must be able to obtain a US Public Trust Clearance

Location:

REMOTE

Contact:
Cry

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.

REQUIREMENTS:  

+  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 work streams, mentor junior staff, and collaborate across cross-functional and matrixed teams.

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…