Federal IT consulting firm modernizing legacy systems and data infrastructure
Acuity is a federal technology consulting firm built around Java, C#, .NET, and increasingly Python/PySpark. The tech stack reveals a dual modernization effort: heavy investment in cloud data (Databricks, Delta Lake, AWS Glue, Spark SQL) alongside enterprise platform work (ServiceNow, Jenkins, Terraform). Hiring is engineering-focused (19 of 22 active roles) and skewed senior, suggesting they're staffing complex cloud migration and data pipeline projects rather than scaling volume services.
Notable leadership hires: Technical Lead
Acuity, Inc. is a federal technology consulting firm headquartered in Reston, VA, founded in 2002. The firm serves U.S. government and defense agencies, helping clients modernize legacy systems, improve process efficiency, and implement cloud-native data architectures. Current work spans ServiceNow platform modernization, enterprise data warehouse consolidation, and cloud migration of legacy ETL workloads. The company employs 201–500 people and operates as a privately held firm.
Acuity's core stack spans Java, C#, .NET, and JavaScript on the application side, with AWS (Glue, RDS, SQS, CloudWatch), Databricks, Apache Spark, and Delta Lake for data. Jenkins, GitLab, Terraform, and CI/CD handle deployment. ServiceNow and Tableau cover enterprise platforms and analytics.
Acuity is executing ServiceNow platform modernization, building scalable PySpark data pipelines in Databricks, migrating legacy ETL to cloud, and designing Delta Lake architectures for enterprise data systems. Key challenges include modernizing legacy infrastructure, ensuring data quality, and managing technical debt.
Acuity, Inc.'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.