Job Type Full-time Description About Spatial Front, Inc. (SFI) Spatial Front, Inc. (SFI) is a fast-growing small business providing IT solutions and services to Federal Government customers. We are proud recipients of the 2025 USA Today
Design and develop scalable applications for property surveys, including offline-capable hybrid apps and mobile solutions for iOS and tablets to support field operations. Write flexible, maintainable code based on technical requirements and established system architecture, create
Description Position Overview Our client is seeking an experienced Business Systems Analyst / Systems Administrator with strong Lacernex platform expertise to support and lead Phase 2 of a major enterprise rollout initiative. This individual will join
Wolverine World Wide, Inc. (NYSE: WWW) is a global footwear and apparel company driven by a vision to Make. Every Day. Better. Founded in 1883, the Company builds and grows iconic brands including Merrell®, Saucony®, Wolverine®,
It Starts With Our Employees FourLeafs ultimate goal is to provide the best-in-class member and employee experience, and it all begins with two things: hiring incredible people and giving them a great place to work. What
LocationRemote, US Scheduled Hours40 Position SummaryThe C-BRAIN Data Engineer is a key technical member of the C-BRAIN team responsible for designing, building, and maintaining the data infrastructure that powers C-BRAINs AI tools. Reporting to the C-BRAIN
Position Purpose: Provides functional business knowledge and technical support to the enterprise business operations department through scripting automation and data analytics by designing and programming new processes/reports. Acts as subject matter expert for department or business
As a Senior Software Developer at Harris ERP, you write and review code every week, make sound architectural calls, and help lead a small team, including local and overseas developers, as we continue investing in and
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side