> Markdown version of [/jobs/ext/2007629-palantir-foundry-developer-data-engineer](https://www.wearedevelopers.com/jobs/ext/2007629-palantir-foundry-developer-data-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 Foundry Developer & Data Engineer - **Company:** Sparc Technology Services Inc - **Location:** New York, NY, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Python (Programming Language), Open Source Technology, Pyspark, Data Analytics, Data Pipelines - **Published:** August 9, 2026 - **Apply:** https://www.wayup.com/i-j-Palantir-Foundry-Developer-Data-Engineer-Sparc-Technology-Services-Inc-000864297379135/ ## About the Role Experience in Palantir Foundry expertise, supporting full stack development services Experience in developing data pipelines using Python/PySpark Experience in advance data science or analytics expertise, using a variety of technical platforms and open-source programming technologies Ability to design and deliver solutions with autonomy, working collaboratively as part of a team Strong communication/presentation skills and ability to explain technical topics to non-technical audiences Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward ## Description We are seeking a skilled Software Engineer to join our team! As a Software Engineer, you will be responsible for designing, developing, and maintaining our company's software. You will gather information to identify the company's needs and program clean and efficient code to meet those needs. The ideal candidate is an analytical thinker with a proven ability to produce functional code. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)