> Markdown version of [/jobs/ext/2182000-palantir-engineer](https://www.wearedevelopers.com/jobs/ext/2182000-palantir-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Palantir Engineer - **Company:** INCEED - **Location:** Kansas City, MO, United States (Remote available) - **Experience:** Expert - **Salary:** $124,800.0 - $149,760.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, BigQuery, Cloud Computing, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Flow Control, Python (Programming Language), Machine Learning, Meta-Data Management, Performance Tuning, Standard Sql, Cloudera, SQL Databases, Git, Pyspark, Stream Processing, Software Version Control, Data Pipelines - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/3502d535-4e41-4744-b45f-04246399084c ## About the Role * 8+ years of related professional experience. * Experience building pipelines, ontologies, and applications in Palantir Foundry. * Strong Python and PySpark development experience. * Solid SQL skills for analysis and performance tuning. * Experience with Dataform, Dataproc, and BigQuery. * Hands-on experience with real-time data streaming. * Knowledge of Cloud Scheduler and Dataflow. * Experience using Git and CI/CD pipelines. Nice to Have Skills & Experience: * Background with DBT. * Exposure to machine learning concepts. * Understanding of AI concepts. * Data governance experience. * Familiarity with metadata management tools. ## Description * Design and maintain scalable data pipelines and transformation workflows. * Build and optimize solutions in Palantir Foundry. * Develop ETL and ELT processes using Python, PySpark, and SQL. * Support data modeling, warehousing, and pipeline performance tuning. * Improve data quality, reliability, and lineage across workflows. * Partner with technical teams to translate requirements into data products. * Monitor pipeline health and troubleshoot issues proactively. * Support CI/CD, documentation, and version control practices. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)