Palantir Developer

System One, Inc.

Vale (CA)

Remote

USD 130,000 - 170,000

Full time

26 hours ago
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Job summary

System One, Inc. is seeking a Palantir Developer to design, develop, and maintain Palantir Foundry modules and data pipelines. You will ingest and curate data from multiple authoritative sources, build data models, and ensure traceability and quality for financial reporting and analytics.

The role involves cloud-native work in secure AWS/Azure environments, supporting IL4/IL5 architectures. Collaboration with SMEs, analysts, and governance teams is required, with a focus on DoD Advana/Vantage

Qualifications

  • Bachelor’s degree in computer science or related field.
  • 5+ years of experience in data engineering, analytics engineering, or software development, preferably in regulated or federal environments.
  • Palantir Foundry experience including Workshop; support for DoD Advana/Vantage is highly desirable.
  • Experience with Python, SQL, PySpark, and Spark-based data processing.
  • Experience with relational/analytical data stores (Databricks, Oracle, Postgres, SQL Server) and data modeling.
  • Experience handling federal financial data with data controls and reconciliation needs.
  • Familiarity with Git-based version control, CI/CD concepts, and Agile in secure environments.
  • Prior experience in Advana/Vantage ecosystems or DoD enterprise analytics platforms.
  • Certifications (Palantir, AWS, Azure, Databricks).

Responsibilities

  • Design, develop, and maintain Palantir Foundry workshop modules and data pipelines.
  • Ingest, transform, and curate data from authoritative Client source systems.
  • Engineer data models, Delta tables, and curated datasets for financial reporting and analytics.
  • Develop and deploy Foundry pipelines, transforms, and data products with traceability and lineage.
  • Implement CI/CD and version-controlled data engineering workflows.
  • Build cloud-native solutions in secure AWS/Azure environments for IL4/IL5 architectures.
  • Collaborate with SMEs, analysts, engineers, and governance teams to ensure data standards and controls.
  • Implement data quality, reconciliation, validation, and monitoring for financial accuracy.
  • Support data integration, modernization, and migration to Databricks and Foundry within Advana.
  • Troubleshoot production issues and ensure high availability of mission-critical systems.
  • Document data flows, designs, and procedures for compliance and accreditation.
  • Stay current on DoD data security and compliance frameworks.

Skills

Python
SQL
PySpark
Spark
Palantir Foundry
Workshop
Databricks
AWS
Azure
Git

Education

Bachelor's degree in computer science or related field

Tools

Palantir Foundry
Workshop
Databricks
AWS
Azure
Git
CI/CD tooling

Job description

Job Title: Palantir Developer
Location: Remote is okay, but prefer to have candidates in Aberdeen, MD, the DMV, or Huntsville, AL
Type: Contract To Hire
Work Model: Remote
Hours: 40.0 hours/week
Security Clearance: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance

Responsibilities

  • Design, develop, and maintain Workshop Modules in Palantir Foundry.
  • Design, develop, and maintain end-to-end data pipelines using Palantir to ingest, transform, and curate structured and semi-structured data from authoritative Client source systems.
  • Engineer and optimize data models, Delta tables, and curated datasets to support financial reporting, PPBE workflows, auditability, and mission analytics within Advana and downstream Foundry use cases.
  • Develop, maintain, and deploy Foundry pipelines, transforms, and data products, enabling traceability, lineage, and repeatable analytics workflows for Client's stakeholders.
  • Implement and manage CI/CD and version-controlled data engineering workflows using Git-based repositories and automated deployment patterns aligned with Clinet's security and ATO requirements.
  • Build and deploy cloud-native solutions in secure AWS and Azure environments, supporting IL4/IL5 architectures as applicable, and leveraging containerization where approved.
  • Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to Client's financial data standards, business rules, and controls.
  • Implement robust data quality, reconciliation, validation, and monitoring capabilities to support financial accuracy, audit readiness, and confidence in reported metrics.
  • Support data integration, modernization, and migration efforts, including onboarding legacy financial systems and transitioning workloads to Databricks and Foundry within Advana.
  • Troubleshoot and resolve pipeline, performance, and data integrity issues in production environments, ensuring high availability and reliability in mission-critical systems.
  • Document data flows, engineering designs, and operational procedures to support compliance, knowledge transfer, and platform accreditation.
  • Stay current on emerging data engineering, analytics platform, and DevSecOps best practices relevant to Client's enterprise data environments.

Requirements

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance
  • Bachelor’s degree
  • FIVE (5) years of experience in data engineering, analytics engineering, or software development, preferably in regulated or federal environments.
  • Palantir Foundry experience
  • Experience with Palantir, including Workshop; experience supporting or integrating with DoD Advana/ Vantage is highly desirable.
  • Experience with Python, SQL, PySpark, and Spark-based data processing.
  • Experience building or supporting data solutions using Palantir Foundry, including pipelines, transforms, datasets, and data lineage.
  • Experience working with relational and analytical data stores (e.g., Databricks, Oracle, Postgres, SQL Server) and applying sound data modeling principles.
  • Experience handling federal financial data, including budget, execution, and accounting data, with an understanding of data controls and reconciliation needs.
  • Bachelor's degree in computer science, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • Direct experience supporting DoD financial, PPBE, comptroller, or audit-related programs.
  • Ability to operate independently in a fast-paced, mission-focused environment.
  • Strong analytical, troubleshooting, and communication skills, including the ability to translate complex technical concepts for both technical and non-technical audiences.
  • Familiarity with Git-based version control, CI/CD concepts, and Agile delivery methodologies in secure environments.
  • Prior experience working directly within the Advana/Vantage ecosystems or adjacent DoD enterprise analytics platforms.
  • Certifications (Palantir, AWS, Azure, Databricks).
  • Familiarity with data governance, metadata management, lineage, and access controls in classified or controlled unclassified environments.
  • Understanding of DoD data, security, and compliance frameworks (e.g., RMF, ATO processes).
  • Previous consulting experience supporting federal or defense clients.

System One, and its subsidiaries including 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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