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Palantir Aip

Palantir Aip Developer Jobs

2 jobs found

Today

Palantir Software Engineer

Booz Allen Hamilton Norfolk, VA

Norfolk, VA

Today

$69k - $158k/yr Full time Collaboration Data Architecture Data Integration

Job Description

Benefits

Health benefits for you and your family
Life benefits coverage
Disability benefits and financial security
Financial benefits to support your goals
Retirement benefits planning and resources
Paid leave and time off to rest and recharge
Professional development opportunities to grow your skills
Tuition assistance for continuing education
Work-life programs to help balance responsibilities
Dependent care support
Recognition awards program to celebrate contributions

This onsite role is based in Norfolk, VA and centers on full‑stack development with Palantir Foundry, Pipeline Builder, and Foundry AIP to deliver data‑driven solutions within an agile setting.

Responsibilities

Design, build, and maintain the War Data Platform and Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.
Create applications within Palantir Foundry.
Develop modular applications and workflows using TypeScript, Python, and Foundry AIP.
Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ontology mappings.
Use Git and other code repositories to manage version control of development efforts.
Support Foundry workshops to demonstrate platform capabilities to stakeholders.
Participate in testing, debugging, and performance tuning of Foundry applications.
Contribute in agile teams, including sprint planning and retrospectives.

Requirements

At least 3 years of experience with Palantir Foundry to build, enhance, or deploy data‑driven solutions
Minimum 3 years of software development experience across core languages, technologies, tools, or web stacks
Familiarity with Agile methodologies, XP, software engineering, product management, and software products
Experience writing source code for new applications or improving code samples for existing apps
Proficiency with back‑end and front‑end languages to deliver complete solutions
Proven ability to solve complex problems within a collaborative, cross‑functional team
Secret clearance
Bachelor's degree with 3+ years of software engineering experience or 5+ years of engineering work in lieu of a degree

Technologies

Palantir Foundry
Foundry
Pipeline Builder
TypeScript
Python
Foundry AIP
Git

Compensation

Projected annual salary range is USD 69,300 to 158,000. Final offers are determined by factors including location, education, knowledge, skills, competencies, experience, and program requirements. This range represents typical compensation for the role and is one component of Booz Allen Hamilton's total compensation package.

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9d ago

Palantir Data Engineer

Guidehouse McLean, VA

McLean, VA

9d ago

$113k - $188k/yr Full time Analytics Big Data Bigdata

Job Description

This onsite Palantir Data Engineer role at Guidehouse in McLean, VA focuses on designing and operating ontology-driven data products in Palantir Foundry, with an emphasis on semantic data modeling, governance, and analytics to support case management and operational workflows.

Responsibilities

Design, implement, and maintain Palantir Foundry Ontologies, including entities, relationships, properties, actions, and permissions.
Translate business processes and domain requirements into clear, reusable entity and relationship models.
Ensure semantic consistency across datasets by enforcing standardized definitions, naming conventions, and relationship patterns.
Evolve ontologies over time while maintaining lineage, backward compatibility, and data contracts.
Design and implement ingestion pipelines into Foundry from APIs, relational databases, object storage, file drops, and external partners.
Build transformation logic that materializes ontological entities and relationships from raw and curated data sources.
Implement incremental processing and CDC patterns to keep ontology-backed data current.
Optimize pipeline performance and reliability while maintaining clarity between raw, curated, and ontology-backed layers.
Produce analysis-ready datasets that power case views, entity timelines, dashboards, cohort analyses, and trend reporting.
Enable self-service analytics by ensuring ontology-backed datasets are intuitive, well-documented, and reusable.
Support both human workflows and analytical or machine learning consumption from the same semantic foundation.
Ensure datasets and entities are fully documented with ownership, descriptions, and business definitions.
Maintain end-to-end lineage from source systems through transformations into ontological entities.
Implement policy-based access controls and secure handling aligned to organizational and compliance requirements.
Operationalize data quality checks for freshness, completeness, and validity tied to mission-critical entities.
Monitor pipelines and ontology-backed datasets using metrics, logs, and alerts.
Troubleshoot failures, conduct root-cause analysis, and implement preventive improvements.
Support environment promotion practices (DEV, TEST, PRE-PROD, PROD) with repeatable and auditable processes.
Partner with platform engineering, security, analytics, and application teams to align ontology design with operational needs.
Communicate complex ontology and data concepts clearly to both technical and non-technical stakeholders.
Participate in design and architecture reviews related to ontology evolution and data modeling standards.

Requirements

A Bachelor's degree is required
A minimum of 3 years of experience building and operating production data pipelines and data models is required
Hands-on experience with Palantir Foundry, or strong data engineering experience with the ability to ramp quickly
Palantir Foundry Ontology experience, including entity and relationship modeling
Palantir Foundry Ontology experience, including ontology-backed actions and workflows
Palantir Foundry Ontology experience, including permissioning and governance within the ontology
Strong proficiency in SQL and at least one data engineering language (Python preferred; Scala/Java acceptable)
Experience implementing ETL/ELT pipelines, incremental processing, and transformation best practices
Familiarity with governance fundamentals, including metadata, lineage, access controls, and data quality
Strong communication skills and experience working directly with product and mission stakeholders

Technologies

Palantir Foundry, Palantir Foundry Ontology, SQL, Python, Scala, Java
Palantir AIP
Databricks
Spark
Lakehouse architectures

Benefits

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

Nice to Have

Palantir Application Developer experience, building operational applications and workflows on top of the ontology
Bachelor’s degree in Engineering, Computer Science, Information Systems, or a related field (or equivalent practical experience)
Palantir AIP experience, including ontology-backed document understanding and summarization
Palantir AIP experience, including entity extraction and enrichment
Palantir AIP experience, including human-in-the-loop review with governance controls
Using AI copilots for pipeline development, transformations, ontology evolution, and code review
Applying generative AI to improve developer productivity while maintaining data quality and governance
Experience supporting ontology-first designs for case management systems
Knowledge of entity resolution, relationship extraction, and graph-based modeling
Familiarity with Databricks, Spark, or lakehouse architectures in hybrid environments
Exposure to CI/CD practices for data pipelines and ontology changes

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