Palantir Data Engineer

JTEC Consulting is seeking a mid-level Palantir Data Engineer to support an agile data team modernizing and operationalizing data workflows using Palantir Foundry. The role is based in Chantilly, VA and focuses on building production-ready pipelines, integrating external systems, extending Palantir interfaces with TypeScript, and providing Tier 2 support for technical data issues.

Onsite Location

• Chantilly, VA (100% onsite)
• Relocation: relocation support for candidates outside the commuting area will be considered

Salary

USD 140,000 - 160,000 per year

Experience and Education

• Minimum experience: 3+ years
• Education: Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline (or equivalent years of direct experience considered in lieu of a degree)

Key Responsibilities

• Architect, build, and optimize scalable ETL/ELT pipelines using Palantir Pipeline Builder and advanced Python.
• Manage end-to-end movement and ingestion of structured and unstructured data into local and enterprise-level storage repositories using compliant, approved methods.
• Create one-time extraction scripts and automated recurring ingestion pipelines from heterogeneous data sources.
• Transform raw, disparate datasets into clean, well-governed enterprise and standalone data models suitable for production analytics.
• Build direct integrations with external systems via RESTful APIs, parsing raw responses into clean, typed data objects.
• Design, build, and configure mission-focused user interfaces within Palantir Workshop.
• Write, test, and deploy custom application functions using TypeScript to extend interface capabilities and user interactions.
• Develop custom tools, reusable code libraries, and micro-services to automate operational data engineering workflows.
• Serve as a Tier 2 escalation point to diagnose, triage, and remediate technical data issues reported by end-users.
• Translate customer feedback and operational pain points into detailed functional and technical requirements, including downstream impacts on the existing environment.
• Collaborate with Data Scientists, analysts, and project stakeholders to define data schemas, exploration formats, and analytical transformation rules.
• Perform operations and maintenance (O&M), performance tuning, and feature enhancements for existing pipelines and codebases.
• Participate in peer code reviews, architectural brainstorming, and solution design sessions.
• Create and maintain comprehensive engineering documentation, including ETL field-level mappings, code location references, user guides, and access protocols.

Required Qualifications

• Security clearance: current TS/SCI with agency-specific polygraph
• Citizenship: U.S. citizenship
• 3+ years of related professional software engineering or data engineering experience
• Effective written and verbal communication skills for cross-functional collaboration
• Hands-on proficiency with Palantir Foundry, including deep operational experience with Palantir Pipeline Builder and Palantir Workshop
• Advanced proficiency in Python for data manipulation, ETL design, API parsing, and scripting
• Professional experience writing and integrating TypeScript for front-end interfaces and custom functions
• Experience connecting to external APIs, including authentication and serialization/parsing of complex API payloads into relational or object-based data structures
• Strong capability processing, cleaning, and modeling both structured and unstructured data from edge cases and imperfect states
• Ability to perform Tier 2 technical triage, assess architectural dependencies, and communicate technical trade-offs to non-technical stakeholders

Technologies

• Palantir Foundry
• Palantir Pipeline Builder
• Palantir Workshop
• Python
• TypeScript
• RESTful APIs

Security Clearance Requirement

• Current TS/SCI with polygraph

Preferred Qualifications

• Experience working directly with Data Science teams to format and feature-engineer data for predictive modeling
• Familiarity with software engineering best practices, including Git version control, continuous integration, and automated pipeline testing
• Experience in cross-functional, small-team settings emphasizing autonomy, rapid prototyping, and end-to-end ownership
• Demonstrated success producing clear data lineage and technical documentation