Spruce InfoTech Ranked on Inc. 5000 List of America's Fastest-Growing Private Companies for Fourth Year in a Row.
Exton, Pennsylvania
Spruce InfoTech, a leading IT firm, offers innovative and cost-effective solutions to help clients manage and transform their businesses. Our services are designed to guide companies of all sizes, from small businesses to Fortune 500 organizations, in maximizing their IT investment while reducing technology costs. Our team of experts has extensive technical knowledge in enterprise solutions, which helps organizations transform these solutions into a strategic asset that can drive new revenue and improve business operations. Below are some of our achievements..! Spruce InfoTech Ranked on Inc. 5000 List of America's Fastest-Growing Private Companies for Four Years in a Row. ( 2017 - #Inc 441, 2018 - # Inc 271, 2019 - #Inc 629 and 2020 - #Inc 1182) TechServe Alliance Excellence Award in 2018 and 2019 for outstanding performance, productivity and a commitment to continuous improvement in IT & engineering staffing & solutions. Entrepreneur 360 Award based on impact, innovation, growth, leadership and business valuation. #Fastest Growing Philadelphia 100 Region Private Company in 2017, 2018 and 2019 – Recognized by Wharton Business School and Philadelphia Media Network. #35 America’s fastest-growing IT Management Company by Inc. Magazine – 2017 #7 America’s fastest-growing IT Management Company by Inc. Magazine - 2018 #29 America’s fastest-growing IT Management Company by Inc. Magazine - 2019 Our Commitment : We are committed to efficiently providing qualified associates to fit our client needs within the given timelines.
On-site
Build an Angular command center with persona-aware workspaces, client and broker views, reusable widgets, evidence drilldowns, and approval experiences. Develop Spring Boot BFF and API integrations with Python AI services, streaming and session handling, secure authorization, audit workflows, and tested end-to-end journeys.
Hybrid · Toronto
Design conceptual, logical, and physical data models for banking data, and develop scalable data pipelines using Python, PySpark, and SQL. Transform, integrate, map, and validate data while translating business requirements into engineering solutions and optimizing pipeline performance.