Healthcare IT consulting for EHR, ERP, cloud data and analytics
Medix Technology is a Chicago-based consultancy serving healthcare organizations across EHR (Epic), ERP (Microsoft Dynamics 365) and data engineering work. Its stack spans both AWS and Azure alongside Databricks, Snowflake and dbt, pointing to multi-cloud client delivery rather than a single in-house platform. Accelerating, engineering-led hiring plus a new Director of Implementations role signals growing demand for ERP rollouts and Databricks optimization engagements.
Notable leadership hires: Director of Implementations
Medix Technology provides technology consulting focused exclusively on healthcare organizations, covering advisory, electronic health records, enterprise resource planning, human capital management, data and analytics, and support services. Engagements span Epic Systems environments, Microsoft Dynamics 365 implementations, and cloud data platforms built on AWS, Azure, Databricks and Snowflake. Founded in 2017 and headquartered in Chicago, the privately held firm employs 201–500 people. It hires in the United States and Peru across engineering, sales, finance and healthcare functions.
Medix Technology works with Microsoft Dynamics 365, Epic Systems, AWS (Lambda, Glue, Step Functions, Redshift), Azure (Data Factory, Key Vault, DevOps), Databricks, Snowflake, dbt, Terraform, Kubernetes, Power BI and Tableau.
Yes. Hiring is accelerating, led by engineering with additional sales, finance and healthcare roles, plus a Director of Implementations position. Roles are based in the United States and Peru.
Current work includes ERP rollouts, scaling an enterprise healthcare platform, optimizing enterprise Databricks environments, CI/CD automation for Databricks, and monitoring and alerting implementations.
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Medix Technology'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.