WisEngineering, LLC is currently interviewing candidates for an immediate or near term position with
our company in support of ongoing Department of Defense programs at Picatinny Arsenal in Dover, NJ. Candidate must be US Citizen with the ability to obtain a security clearance. Successful candidate will be a direct (W2) employee of WisEngineering.
Location: On Site Picatinny Arsenal, Dover, NJ (No remote option)
Start Date: TBD 3-6 Weeks
WisEngineering is seeking a highly technical Data Analyst / Data Architect to support an upcoming opportunity for Department of Defense programs at Picatinny Arsenal. This is not a traditional business analyst role; it requires a hands-on technical professional who can maintain localized AI infrastructure, engineer data pipelines, and build robust business intelligence dashboards. You will bridge the gap between system administration, data engineering, and applied AI. Your primary focus will be supporting Army Vantage (Palantir) and locally hosted Large Language Models (LLMs), identifying and scraping web data to enrich these models, performing system administration duties for the AI environment, and building tracking metrics and reports for leadership.
KEY REQUIREMENTS
- U.S. Citizenship REQUIRED due to DoD security clearance requirements
- Ability to obtain and maintain a security clearance, if required.
- This is an onsite position 5 days per week at Picatinny Arsenal, Dover, NJ. Remote work is not permitted.
- Local Candidates Preferred - Limited relocation assistance may be available
CORE RESPONSIBILITIES
AI Administration & LLM Support
- Local Infrastructure Management: Serve as the technical point of contact for locally hosted LLM environments utilizing Ollama and LM Studio, specifically supporting the Gemma model family. Perform troubleshooting and optimization for the local AI/LLM setup.
- Data Identification & Web Scraping: Actively identify external and internal data gaps needed to train or ground the LLM. Write and maintain Python web-scraping scripts to safely harvest relevant web data.
- Data Modeling and Analytics: Create and maintain data models to support analytics and reporting needs, ensuring scalability and performance optimization.
- Data Documentation: Ability to write clear and comprehensive documentation for datasets, workflows, scripts, and dashboards to ensure reproducibility and knowledge sharing.
- Security Compliance: Ensure all data ingestion, scraping, and LLM querying adhere to strict DoD guidelines.
Advanced Reporting & Prompt Engineering
- Utilize Vantage (Palantir) to provide AI-enabled workflows and applications to integrate, analyze, and visualize data in real time, turning information into actionable insights.
- Conceptualize and design high-impact use cases that turn raw, unstructured data (web pages, PDFs, free-text fields, etc) into actionable insights
- Prompt Engineering: Develop, test, and refine complex prompts to extract deterministic summaries, classifications, and research insights from the LLM.
- AI-Driven Research: Utilize the localized LLM environment to conduct deep-dive research and generate automated intelligence reports for program stakeholders.
- Generate PDF/Word/HTML deliverables as needed using open source libraries.
Business Intelligence & Pipeline Engineering
- Metrics & Dashboards: Design, build, and maintain high-impact performance metrics and interactive dashboards using Microsoft Power BI.
- Data Tracking: Configure and maintain Microsoft Lists and Excel/SharePoint environments to track program data, ensuring seamless integration with Power BI.
- Data Pipeline Automation: Write and maintain Python 3 scripts to pull, clean, and transform data from varied sources (Excel, CSV, JSON, Markdown, APIs, and scraped web content) into structured data models.
REQUIRED SKILLS & QUALIFICATIONS
- Core Languages & Tools: Proficient in Python (for data manipulation and web scraping) and Power BI (for advanced DAX data modeling and visualization).
- AI/LLM Frameworks: Hands-on experience configuring and managing Ollama, LM Studio, and open-source models like Gemma.
- Microsoft Ecosystem: Strong familiarity with Microsoft Lists, SharePoint, and Power Platform integration.
- Data Wrangling: Proven ability to scrape web data and clean unstructured text/data formats (PDFs, APIs, free-text).
- Education/Experience: Bachelor's degree in Computer Science, Data Science, Information Technology, or a related technical field, paired with 3+ years of relevant technical experience (or equivalent combined education and experience).
- Military Experience: A plus.
If you meet the qualifications and are excited about the possibility of joining our team, we encourage you to apply today!
