> Markdown version of [/jobs/ext/4087838-senior-software-engineer-java-analytics](https://www.wearedevelopers.com/jobs/ext/4087838-senior-software-engineer-java-analytics). 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). --- # Senior Software Engineer - Java Analytics - **Company:** BENZ TECHNOLOGY, INC. - **Location:** Fort Meade, MD, United States - **Experience:** Expert - **Salary:** $165,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Business Analytics Applications, Data Analysis, C++ (Programming Language), Data Integration, Python (Programming Language), Raw Data, Systems Integration, Enterprise Data Management, Jupyter Notebook, Build Management, Programming Languages - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e6c96ab95efad462 ## About the Role * Proficiency in Java as a primary development language * Experience with Python and/or C++ for analytics development * Hands-on experience with Jupyter Notebooks * Experience with GHOSTMACHINE * Experience with Query Time Analytics Desired Qualifications * Familiarity with customer corporate tools and internal data repositories * Experience integrating and enriching data across multiple enterprise data sources ## Description We are looking for a Senior Java Analytic Developer to design and deploy innovative analytics solutions that automate data and metadata analysis. You will work directly with mission stakeholders to capture requirements, enrich data from multiple sources, and deliver results that power downstream analytics and queries. This role sits at the intersection of geolocation, data integration, and applied analytics engineering., * Collaborate with customers to develop analytics built from mission artifacts and data sources * Enrich raw data with corporate data repositories and summarize results for downstream consumption * Build and deploy analytic solutions to customer-supported toolsets * Leverage disparate datasets to surface gaps in user activities, collection efforts, and technology discovery * Automate data and metadata analysis workflows * Capture and translate stakeholder requirements into working analytic capabilities