Cognizant

Palantir Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a mid-level Palantir Developer, remote, with a contract duration of over 6 months and a focus on data engineering. Requires 3–5 years of experience, proficiency in Python and SQL, and hands-on experience with Palantir Foundry.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#GIT #Python #SQL (Structured Query Language) #Data Modeling #Azure DevOps #"ETL (Extract #Transform #Load)" #DevOps #Automation #GitHub #GitLab #Data Quality #Palantir Foundry #Azure #Stories #Data Engineering #Data Ingestion
Role description
Palantir Developer (Mid‑Level) • • Remote • • Full‑time -- Full time or Contracting About the Role We’re looking for a mid‑level Palantir Developer to design, build, and productionize data products on Palantir Foundry (and/or Gotham, as applicable). You’ll partner with data engineers, platform admins, and business stakeholders to translate use cases into robust ontologies, pipelines, and operational workflows that drive measurable outcomes. This role is ideal for someone who enjoys hands‑on development in Foundry, working across the stack from data ingestion to user‑facing apps. Minimum Qualifications • 3–5 years of professional experience in data engineering/analytics engineering/software development, with 1–2+ years building in Palantir Foundry (pipelines, ontology, Workshops, Code Repositories). • Proficiency in Python and SQL for data transformation and automation. • Hands‑on experience with Git and CI/CD (e.g., GitHub Actions, Azure DevOps, GitLab). • Strong grasp of data modeling, ETL/ELT patterns, and data quality practices. • Ability to elicit requirements and translate them into technical designs and user stories. • Excellent communication skills and a product mindset focused on outcomes. • Experience with Foundry Operational Ontology, Quiver, Object Explorer, and Contouring