Data and application consulting firm serving mid-market enterprise clients
Moser Consulting operates a traditional services business built on five practice areas: Big Data, Managed Services, IT Consulting, Application Development, and Learning Services. The tech stack reflects a mature, polyglot consulting operation—Java, .NET, Python, Angular, React across frontend and backend, paired with enterprise databases (SQL Server, Oracle, PostgreSQL) and modern data platforms (Databricks, Power BI, Tableau). Current hiring is heavily weighted toward data roles (5 of 10 open positions), with senior and director-level emphasis, suggesting either scaling data-delivery capacity or building deeper data practice leadership.
Moser Consulting is a privately held technology consulting firm founded in 1996 and headquartered in Indianapolis. The company employs 201–500 people and serves mid-market enterprises across five core service areas: Big Data, Managed Services, IT Consulting, Application Development, and Learning Services. The firm positions itself on deep technical expertise (certified in Cloudera and Hortonworks, among others) combined with business-outcome focus. Active projects center on data engineering, metrics and visualization, and GenAI solutions—indicating a shift toward modernized data practices. Managed Services represents a recurring-revenue component alongside traditional time-and-materials consulting.
Java, .NET, Python, Angular, React, Vue on the application side; Databricks, Power BI, Tableau for analytics; SQL Server, Oracle, PostgreSQL for databases; AWS and Azure for cloud; Docker for containerization.
Indianapolis, Indiana. The company was founded in 1996 and currently employs 201–500 people.
Moser Consulting'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.