Agile Resources, Inc.

Senior Palantir Foundry Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Palantir Foundry Engineer on a 12-month contract, offering up to $115/hour. Candidates must have 8+ years in software or data engineering, including 2+ years of hands-on Palantir Foundry experience, and strong Python/SQL skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
920
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🗓️ - Date
June 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #Data Quality #Palantir Foundry #Python #Spark (Apache Spark) #Deployment #PySpark #Data Pipeline #Pandas #"ETL (Extract #Transform #Load)" #Documentation #Consulting #Scala #SQL (Structured Query Language)
Role description
Location/Remote: 100% Remote (must live within the U.S.) Employment Type: 12-month Contract (W-2). Compensation: Up to $115/hour (commensurate with experience) Benefits: Medical, dental, vision, LTD/STD, HSA/FSA, term life, and supplemental health insurances (e.g., Aflac) for all employees (and their families if needed) This contract role delivers end-to-end Palantir Foundry solutions, with a strong emphasis on Foundry Ontology design and forward-deployed ownership. You will translate real operational problems into scalable domain models, pipelines, and applications that drive measurable user adoption. Success requires deep, hands-on Foundry experience (building directly in Foundry), production-quality Python/SQL engineering, and the ability to independently lead technical delivery from discovery through launch. Responsibilities: • Lead discovery with business stakeholders to clarify operational workflows, define success metrics, and translate needs into Foundry-deliverable requirements and technical designs. • Architect and implement Foundry Ontology domain models, including object types, link types, action types, interfaces, and functions that scale across teams and use cases. • Build and operationalize production-grade data pipelines and transformations using Python and SQL, leveraging frameworks such as PySpark, Pandas, and Polars as appropriate. • Develop, test, and deploy Foundry-native solutions (pipelines, logic, and application components) with a focus on reliability, maintainability, and performance at enterprise scale. • Drive solution delivery end-to-end, including implementation planning, hands-on build, deployment readiness, rollout, and user adoption, while managing ambiguity and shifting priorities. • Diagnose and resolve data quality, performance, and modeling issues by instrumenting pipelines, validating outputs, and hardening solutions for ongoing operations. • Establish practical engineering standards for the workstream, including code quality expectations, documentation, and repeatable patterns for Ontology and pipeline design. Required Skills: • 8+ years of software engineering, data engineering, or technical consulting experience, including 2+ years of hands-on Palantir Foundry experience building directly in Foundry environments. • Deep Palantir Foundry Ontology expertise, including designing and implementing object types, link types, action types, interfaces, and functions to architect scalable operational domain models. • Expert-level Python and SQL skills, with experience building production-grade data pipelines, applications, and enterprise-scale solutions using PySpark, Pandas, Polars, and related frameworks. • Proven forward-deployed solution ownership, including direct stakeholder engagement and independent delivery from discovery and architecture through deployment and user adoption. Preferred Skills: • Experience with Palantir AIP, including AIP Logic, AIP Agents, evaluation suites, LLM-powered workflows, and RAG implementations. • Experience delivering solutions in healthcare, clinical operations, revenue cycle, or other highly regulated industries.