Federal health IT contractor building CMS data, cloud and fraud analytics systems
Sparksoft is a Columbia, Maryland federal contractor whose job posts center on CMS work: fraud, waste and abuse analytics, value-based payment models and Data Services Hub operations. Its AWS-heavy stack (Fargate, KMS, CloudTrail, Direct Connect) paired with Terraform, Kubernetes, Splunk and Datadog points to compliance-driven cloud operations. Hiring is accelerating, skewed toward senior engineering and data roles, with new director-level business development and program leadership.
Notable leadership hires: Business Development Director, Program Director
Sparksoft Corporation is a privately held IT services firm founded in 2004 and headquartered in Columbia, Maryland. It delivers software, testing and IV&V, security and privacy, analytics and program management services to federal government clients, with a focus on health IT. Current work supports Centers for Medicare & Medicaid Services programs, including data services, quality reporting and open enrollment operations. The company employs 51–200 people and hires within the United States.
Sparksoft is a federal health IT contractor providing software delivery, testing and IV&V, security, analytics and program management, with active CMS work in fraud analytics, quality reporting and the Data Services Hub.
Sparksoft runs on AWS (Fargate, RDS, KMS, CloudTrail, CodePipeline) with Terraform, CloudFormation, Docker, Kubernetes, Jenkins, Python, Java, Scala, PostgreSQL, Splunk, Datadog and Elasticsearch.
Yes. Hiring is accelerating across the United States, led by senior engineering and data roles, plus business development and program director positions.
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Sparksoft Corporation'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.