> Markdown version of [/jobs/ext/3537466-data-engineer](https://www.wearedevelopers.com/jobs/ext/3537466-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). --- # Data Engineer - **Company:** Visionary Innovative Technology Solutions LLC - **Location:** Atlanta, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Microsoft Azure, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Transformation, Fraud Prevention and Detection, Python (Programming Language), Cloud Services, SQL Databases, Systems Integration, Enterprise Data Management, Software Repository, Google Cloud, File Transfer Protocol (FTP), Enterprise Software Applications, Ontology Design, Retrieval-Augmented Generation, Palantir Foundry, Agentic-AI, Pyspark, Data Lineage, Data Pipelines - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/9e20650b-74eb-45bf-a7a8-dc962938de83 ## About the Role * 5+ years of experience in Data Engineering. * 3+ years of hands-on experience with Palantir Foundry. * Strong experience with Ontology design, Pipeline Builder, Workshop, and Code Repositories. * Excellent programming skills in Python, PySpark, and SQL. * Experience integrating enterprise data sources using APIs, SFTP, and cloud-native data services. * Experience developing operational workflows, alerts, dashboards, and case management applications. * Knowledge of data governance, data lineage, security, privacy, and compliance. * Experience working in Agile/Scrum environments. * Strong communication and stakeholder management skills. Preferred Skills * Experience in Financial Services, Banking, Fraud Detection, or Fraud Investigation. * Hands-on experience with Palantir AIP. * Knowledge of Agentic AI workflows and RAG architectures. * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Understanding of modern data architecture and enterprise data platforms. ## Description We are looking for an experienced Data Engineer with strong Palantir Foundry expertise to design, develop, and maintain enterprise data solutions. The ideal candidate will have hands-on experience with Palantir Foundry, Ontology, Pipeline Builder, Workshop, Python, PySpark, and SQL, along with strong experience integrating enterprise data platforms., * Design and develop scalable data pipelines and solutions using Palantir Foundry. * Build and maintain Ontology-driven data models and workflows. * Develop data transformations using Python, PySpark, and SQL. * Integrate data from multiple enterprise systems and external sources. * Build operational applications, alerts, and workflows using Palantir tools. * Ensure data quality, governance, lineage, security, and compliance. * Collaborate with business stakeholders, data teams, architects, and engineering teams. * Participate in Agile ceremonies and support end-to-end project delivery. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)