IT consulting and staffing for Oracle, Azure and data platform projects
On-Demand Group is a Minnesota-based IT consultancy placing senior consultants and teams onshore, nearshore and offshore. Its job posts read like client engagements: Oracle Fusion ERP and HCM, Snowflake, Databricks, Azure Data Factory and Microsoft Fabric dominate, alongside Epic and FHIR healthcare work. Hiring is accelerating, senior-weighted and concentrated in engineering and data, pointing to demand for data platform integration and ERP modernization skills.
On-Demand Group is a privately held technology consulting and talent firm headquartered in St Louis Park, Minnesota, founded in 1996. It employs 201–500 people and supplies IT consultants through contract, contract-to-hire and direct-hire models. Delivery spans US-based consultants, nearshore teams in Latin America and offshore teams in the Philippines. Service areas include software development, QA, project management, infrastructure and business intelligence. The company describes itself as woman-owned and led.
Its roles cite Oracle Fusion ERP, SCM and HCM, Oracle Integration Cloud, OCI, NetSuite, Snowflake, Databricks, Apache Spark, Azure Data Factory, Synapse, Microsoft Fabric, Terraform, Epic Systems and FHIR.
Yes. Hiring is accelerating and centered on engineering and data roles, mostly senior-level, in the United States, with skills in Snowflake, Databricks, Python, Scala and Azure data services.
On-Demand Group is headquartered in St Louis Park, Minnesota, and also offers nearshore consulting in Latin America and offshore consulting in the Philippines.
Other companies in the same industry, closest in size
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.