Data & Microsoft Platform Engineer
About The Position
Sciolex Corporation is seeking a motivated and adaptable individual to support and evolve our internal data and technology environment within the Microsoft ecosystem. This role goes beyond traditional reporting or narrowly defined responsibilities. While strong database skills and experience in Microsoft tools are core requirements, this position is intentionally open-ended and will play a key role in shaping how we leverage modern technologies—including generative AI—to improve internal operations. The ideal candidate is a self-starter and problem solver who is comfortable working across both structured data (enterprise databases) and unstructured data (documents, SharePoint content), and is eager to build practical solutions that make information more accessible and actionable for the business.
Requirements
- Bachelors Degree in Engineering, Computer Science, IT and/or similar fields
- Strong database skills (SQL Server, relational design, query optimization)
- Experience working in a Microsoft-based environment (e.g., SharePoint, Power BI, Azure exposure)
- Strong problem-solving ability and analytical thinking
- Self-starter with the ability to take ownership and operate in an open-ended role
- Ability to communicate effectively with both technical and non-technical stakeholders
- Development experience (e.g., Python, C#, APIs, or similar)
- Must be able to work onsite at our Chantilly, VA HQ
Nice To Haves
- Exposure to or interest in generative AI and document-based search solutions
- Experience building internal tools or automating business processes
- Familiarity with handling unstructured data (documents, file systems, SharePoint content)
Responsibilities
- Design, manage, and optimize enterprise databases (Microsoft SQL Server)
- Work within a Microsoft-based environment, including SharePoint and Azure-hosted systems
- Create and Maintain SharePoint Sites, Lists, and Libraries
- Develop and maintain Power BI dashboards and reporting solutions
- Build and improve internal tools, workflows, and automation
- Troubleshoot and enhance existing systems and processes
- Collaborate with business stakeholders to translate needs into technical solutions
- Identify and implement opportunities to leverage modern technologies, including generative AI
- Enable intelligent search, retrieval, and summarization of internal data and documents
- Integrate structured and unstructured data to improve decision-making
- Prototype and iterate on new solutions that improve internal efficiency and knowledge access
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
