Palantir Pipeline Builder Engineer Jobs

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Palantir Data Engineer

JTEC Consulting Chantilly, VA

Chantilly, VA

Today

$140k - $160k/yr Full time Backend Developer API APIs

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Job Description

JTEC Consulting is hiring a mid-level Palantir Data Engineer for an agile data team modernizing and operationalizing data workflows using Palantir Foundry. This 100% on-site role in Chantilly, VA supports end-to-end data delivery, from ingestion and transformation through mission-focused interfaces and ongoing O&M, with clear opportunities to collaborate across data engineering and analytics stakeholders.

What you’ll work on

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 datasets into clean, well-governed enterprise and standalone data models ready 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 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.
Act as a 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, including clear downstream impacts.
Collaborate with Data Scientists, analysts, and stakeholders to define data schemas, exploration formats, and analytical transformation rules.
Perform operations and maintenance (O&M), performance tuning, and feature enhancements on 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.

What you’ll bring

Current TS/SCI with agency-specific polygraph.
U.S. citizenship.
Bachelor’s degree in Computer Science, Information Systems, or a related technical discipline (or equivalent years of direct experience in lieu of a degree).
3+ years of related professional software engineering or data engineering experience.
Strong written and verbal communication skills for collaboration in a cross-functional team.
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, handling authentication, and serializing/parsing complex API payloads into relational or object-based data structures.
Ability to process, clean, and model both structured and unstructured data, including edge cases and imperfect states.
Capability to perform Tier 2 technical triage, assess architectural dependencies, and articulate technical trade-offs to non-technical stakeholders.

Tools you’ll use

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

Additional notes

Location: 100% On-Site (Chantilly, VA)
Relocation: Relo support for candidates outside the commuting area will be considered
Salary: USD 140,000 - 160,000 per year

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 in small-team, cross-functional environments emphasizing autonomy, rapid prototyping, and end-to-end ownership.
Demonstrated success producing clear data lineage and technical documentation.

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