> Markdown version of [/jobs/ext/1206029-data-engineer-vantage-clearance-required](https://www.wearedevelopers.com/jobs/ext/1206029-data-engineer-vantage-clearance-required). 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 (Vantage) - Clearance Required - **Company:** LMI - **Location:** Tysons, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $101,144.0 - $174,591.0 - **Contract:** Permanent contract - **Skills:** Data Cleansing, Information Engineering, Extract Transform Load (ETL), Decision Support Systems, Python (Programming Language), SQL Databases, Pyspark, Low-code, Data Pipelines - **Published:** July 8, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87657469/1 ## About the Role * Technical: 5-8 years of experience in Data Engineering with expert proficiency in Python, SQL, and PySpark. * Platform: Demonstrated experience with Army Vantage (Palantir Foundry) and the Advana ecosystem. * Clearing: Active DoD Secret Clearance required. * Bonus: Familiarity with Army data sources like IPPS-A, GCSS-Army, or GFEBS. ## Description Data Pipelines: Design, build, and maintain scalable ETL pipelines using Python and PySpark within Palantir Foundry. * Ontology Management: Develop and refine "Objects" (e.g., Soldiers, Equipment, Units) and their relationships to ensure a clean, accurate digital representation of Army operations. * Data Hygiene: Assist with the cleanup of legacy data models and implement automated data quality checks. * Decision Support: Build low-code/no-code applications and dashboards that allow senior leaders to access high-quality data in real-time. * Architecture: Implement Medallion Lakehouse concepts to organize data into Bronze, Silver, and Gold layers for downstream analytics. ## 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) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)