Palantir Data Engineer (TS/SCI w/ Poly)

JTEC Consulting; Chantilly (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

JTEC Consulting LLC in Chantilly, VA is seeking a Mid-Level Palantir Data Engineer to join a fast-paced data team. You will build robust data pipelines with Palantir Foundry, develop interfaces in Palantir Workshop, and write TypeScript functions to extend user interactions.

The role requires current TS/SCI with polygraph, 3+ years of software or data engineering experience, and strong collaboration with data scientists and analysts to translate requirements into scalable solutions.

Qualifications

• Current TS/SCI with agency-specific polygraph required
• 3+ years of related professional software engineering or data engineering experience
• Effective written and verbal communication skills to work in a cross-functional team

Responsibilities

• Architect, build, and optimize scalable ETL/ELT pipelines using Palantir Pipeline Builder and Python
• Ingest structured and unstructured data into local and enterprise storage repositories
• Develop one-time extraction scripts and automated ingestion pipelines
• Transform raw datasets into clean data models ready for production analytics

Skills

Palantir Foundry

Palantir Pipeline Builder

Palantir Workshop

Python

TypeScript

RESTful APIs

ETL/ELT

Data Pipelines

Education

Bachelor’s degree in Computer Science

Equivalent years of direct experience

Tools

Git

CI/CD

Job description

Palantir Data Engineer (TS/SCI w/ Poly)
Chantilly, VA 20151
JTEC Consulting LLC focuses on successfully delivering solutions to meet our clients’ most critical needs. Our founding members have decades of experience delivering a wide range of solutions to Air Force and DoD clients. We are a Veteran-Owned Small Business dedicated to bridging complex operational challenges with modern data solutions.

Security Clearance Requirement: Current TS/SCI with polygraph
Location Note: 100% On-Site
Relocation: Relo support for candidates outside the commuting area will be considered

Position Description:
JTEC Consulting is actively seeking a skilled Mid-Level Palantir Data Engineer to join a high-impact, agile data team responsible for modernizing, transforming, and operationalizing data workflows across enterprise environments. In this role, you will leverage advanced Python and the Palantir Foundry platform to engineer robust data pipelines, integrate diverse external APIs, develop tailored user interfaces, and write custom TypeScript functions. Qualified candidates will have experience beyond core pipeline engineering to support a critical technical bridge between end-users and engineering architecture performing Tier 2 customer triage, translating complex user needs into actionable technical requirements, and building tools to manipulate both structured and unstructured data across varying states and formats.A current security clearance with agency-specific polygraph is strictly required for consideration.

Key Responsibilities
(Responsibilities include but may not be limited to:)

Pipeline Engineering and Data Ingestion

• 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.
• Develop 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 ready for production analytics.

System Integration and Application Development

• 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 inside 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.

Technical Analysis and Customer Triage

• Serve as the Tier 2 support 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, clearly articulating downstream impacts on the existing environment.
• Collaborate closely with Data Scientists, analysts, and project stakeholders to define data schemas, exploration formats, and analytical transformation rules.

Operational Excellence and Maintenance

• Perform operations and maintenance (O&M), performance tuning, and feature enhancements on existing data pipelines and codebases.
• Participate actively 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.

Education and Qualifications:

• Current TS/SCI with agency-specific polygraph required for consideration
• Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline (equivalent years of direct experience considered in lieu of a degree)
• 3+ years of related professional software engineering or data engineering experience
• Effective written and verbal communication skills to work as part of a collaborative cross-functional team

Technical Requirements:

• Palantir Ecosystem: Proven hands‑on proficiency with Palantir Foundry, including deep operational experience with:Palantir Pipeline Builderand Palantir Workshop
• Programming Languages:
• Advanced proficiency in Python (data manipulation, ETL design, API parsing, scripting).
• Professional experience writing and integrating TypeScript for front‑end interfaces and custom functions.
• Data Integration: Demonstrated capability connecting to external APIs, handling authentication, and serializing/parsing complex API payloads into relational or object‑based data structures.
• Data Handling: Strong experience processing, cleaning, and modeling both structured and unstructured data from edge cases and imperfect states.
• Support & Requirements: Demonstrated ability to perform Tier 2 technical triage, assess architectural dependencies, and articulate technical trade‑offs to non‑technical stakeholders.

Preferred Qualifications:

• Experience working directly alongside 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.
• Background working in cross-functional, small‑team settings where autonomy, rapid prototyping, and end‑to‑end ownership are prioritized.
• Demonstrated success producing clear data lineage and technical documentation.

JTEC Consulting LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Salary:
JTEC offers competitive compensation and benefits to all employees. Salary ranges are advertised based on good faith estimates at the time of posting and indicating pay that JTEC anticipates for successful applicants. The estimated salary range displayed in this posting is dependent upon position requirements, individual qualifications, education, experience, location, and other job‑related factors. Our recruiting team will review candidates' related experience and desired salary targets during the evaluation process. All qualified candidates will be considered.