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On-Demand Group Tech Stack

Tech consulting and staffing with global delivery across US, LATAM, and Philippines

Information Technology & Services St Louis Park, Minnesota 201–500 employees Founded 1996 Privately Held

On-Demand Group is a tech consulting and staffing firm founded in 1996, positioned as a woman-owned, woman-led business with a stated humanistic approach to client partnerships. The tech stack reflects a heavy enterprise orientation—Oracle (HCM Cloud, Integration Cloud, Visual Builder, JET), SAP, Infor XA, SQL Server—paired with modern cloud infrastructure (Azure, AWS, GCP, Databricks, Snowflake). Current hiring velocity is accelerating across 21 open roles, weighted heavily toward senior engineers and data practitioners, while internal projects signal active modernization pressure: ERP testing and upgrades, Databricks migration, legacy application refactoring, and greenfield data initiatives for personalization and analytics.

Tech Stack 161 technologies

Core StackSmartsheet Jira Azure DevOps AWS Databricks Python SAP SQL Server Snowflake Tableau Power BI Node.js React GitLab Java JavaScript Terraform TypeScript Next.js Vue Azure DevOps Server Infor XA Azure Oracle HCM Cloud Oracle Integration Cloud BI Publisher Oracle Visual Builder Studio Oracle JET OCI GCP+129 more
AdoptingCosmos

What On-Demand Group Is Building

Challenges

  • Project management capacity shortfall
  • Cybersecurity efforts
  • Improving delivery predictability
  • Increasing team maturity
  • Reducing data-related production errors
  • Ensuring data integrity across erp
  • Implementing new user interface
  • Transitioning to new production operations model
  • Absence of product management function
  • Modernizing enterprise data environments

Active Projects

  • Erp testing and upgrades
  • Cybersecurity upgrades
  • Supporting system upgrades
  • Transitioning production operations model
  • Databricks migration
  • Ai-driven data projects
  • Greenfield data initiatives focused on personalization, recommendation engines, and user journey analytics
  • Implementing new user interface
  • Legacy enterprise application modernization
  • Vendor/platform evaluation

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Engineering
9
Data
3
Ops
3
Finance
1
Healthcare
1
HR
1
Operations
1
Product
1

Seniority

Senior
11
Mid
7
Director
2
Manager
1

Notable leadership hires: Product Director, Digital Workplace Learning Lead

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About On-Demand Group

On-Demand Group delivers tech consulting and talent solutions to mid-market and enterprise clients. The firm operates a three-tier delivery model: senior-level IT consulting, contract-to-hire and direct-hire staffing in the US, and nearshore/offshore technical teams in LATAM and the Philippines. Founded in 1996 and headquartered in St. Louis Park, Minnesota, the company employs 201–500 people. Service lines span infrastructure, development, QA, project management, business intelligence, and emerging AI-driven data work. The company frames itself around relationship-driven delivery and advisory rather than transactional placements.

HeadquartersSt Louis Park, Minnesota
Company Size201–500 employees
Founded1996
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does On-Demand Group use?

Primary stack: Oracle (HCM Cloud, Integration Cloud, Visual Builder, JET), SAP, Infor XA, SQL Server, Azure, AWS, Databricks, Snowflake, Python, Java, JavaScript, React, Node.js, Next.js, Jira, Azure DevOps, Tableau, Power BI, Terraform.

Where is On-Demand Group headquartered?

St. Louis Park, Minnesota. The company was founded in 1996 and is woman-owned and woman-led. Current headcount: 201–500 employees.

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How this profile is built

On-Demand Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.