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Senior Palantir Engineer

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: BP
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job category: IT&S

Experience level:
Intermediate

Relocation available:
This role is not eligible for relocation

Job type:
Professionals

Travel required:

Up to 10% travel should be expected with this role

Job code: RQ106140

Job Description

Position Summary

We are seeking a highly skilled Senior Palantir Engineer to develop and manage key areas of our Palantir platform. This role is pivotal in advancing data-driven strategies across our oil and gas operations. The ideal candidate will have deep expertise in Palantir and strong foundational knowledge of data principles, combined with a passion for embracing new technologies. A willingness to learn new tools and solve complex issues quickly is essential.

You will work closely with cross-functional teams to design scalable data architectures, ensure flawless integration, and deliver high-quality solutions that numerous projects across the hydrocarbon value chain. Additional responsibilities include building development tools, improving platform health, crafting new integrations, and occasionally co-developing solutions with business stakeholders. A strong understanding of master data management and data modeling best practices is required.

Key Responsibilities

  • Lead end-to-end development of tools supporting Palantir deployment at bpx, including ontology development, data pipeline design, and workflow optimization.
  • Build, implement, and maintain scalable data models, pipelines, and integrations using Palantir tools such as AIP, Pipeline Builder, Code Repositories, and Ontology Management.
  • Collaborate with data scientists, analysts, technology teams, and business stakeholders to translate oil and gas domain requirements into technical solutions, ensuring data quality, security, and performance.
  • Troubleshoot and resolve issues within the Palantir environment, including governance, data integration, and egress policies.
  • Develop and automate testing frameworks, environment cleanup, and quality checks to maintain robust data ecosystems.
  • Integrate Palantir with external systems via APIs, improving connectivity with tools such as SAP, AWS, and Copilot.
  • Stay ahead of industry trends by evaluating and incorporating new tools and technologies, including AI-driven analytics and emerging data platforms, to improve operational efficiency.
  • Conduct workshops and provide training on Palantir best practices to foster a culture of data literacy across the organization.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
  • 5+ years of experience in data engineering, with at least 2 years focused on Palantir Foundry or similar big data platforms; candidates with strong data principles and transferable skills from environments such as Snowflake or Databricks will be considered.
  • Demonstrated eagerness to learn and experiment with new tools, evidenced by personal projects, certifications, or contributions to open-source communities.
  • Proven expertise in data modeling, including schema design, performance optimization, and handling sophisticated datasets in high-stakes industries.
  • Proficiency in Python for scripting and automation, Type Script for front-end integrations (e.g., React-based applications), and working with APIs for data ingestion and egress.
  • Strong understanding of ETL processes, data quality frameworks, and version control systems such as Git.
  • Excellent problem-solving skills, with the ability to thrive in fast-paced, ambiguous environments and communicate technical concepts to non-technical stakeholders.

Preferred Qualifications

  • Advanced knowledge of Palantir tools, including Code Repositories, Solution Designer, Data Health, and Data Connections.
  • Familiarity with additional technologies such as SQL, Spark/Scala, or AI concepts (e.g., MCP, A2A).
  • Experience in ontology design and building data catalogs.
  • Hands-on experience in the oil and gas sector, including upstream/downstream data, geospatial analytics, or energy supply chain systems.

Salary

We offer a reward and wellbeing package to enable your work to fit with your life. These can include, but not limited to, access to health, vision and dental…

Position Requirements
10+ Years work experience
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