DOMA Technologies Tech Stack

Healthcare data transformation and claims processing platform

Software Development Virginia Beach, Virginia 201–500 employees Founded 2000 Privately Held

DOMA Technologies transforms unstructured healthcare and government data into actionable insights using a modern cloud stack (Databricks, Spark, AWS, Python). The company is actively adopting FHIR and OMOP CDM standards while scaling healthcare-focused hiring (19 roles) alongside engineering (14 roles), signaling a shift toward clinical data interoperability and regulatory compliance. Active projects span case management systems, utilization review automation, and FedRAMP-High ATO certification—all pointing toward a push into enterprise government and healthcare markets with stricter compliance requirements.

Tech Stack 68 technologies

Core StackDatabricks Apache Spark Delta Lake Apache Airflow AWS Epic Systems Python Java C# React Node.js AWS Lambda AWS RDS JavaScript PHP .NET Bootstrap Laravel Kubernetes Redshift AWS Glue SQL Server HL7 v2 FHIR X12 EDI Cerner Amplify AWS SNS AWS Amplify Athena+35 more

AdoptingFHIR OMOP CDM

What DOMA Technologies Is Building

◆Challenges

Expanding reviewer network
Claim dispute resolution
Meeting fedramphigh compliance
Compliance with cms standards
Revenue cycle challenges
Reducing operations cost
Improving program integrity
Documentation gaps
Ensuring appropriateness of care
Reducing unnecessary utilization

▲Active Projects

Case management system for cms
Utilization review
Appeals and hearings
Remote case reviews for military members
State health growth roadmap
Continuous improvement initiatives for throughput and evidence quality
Saas platform mvp delivery
Fedramphigh ato process
Ai/ml pattern recognition model development
Cms program performance monitoring

Hiring Activity

Accelerating45 roles · 35 in 30d

Department

Healthcare

Engineering

Data

Sales

Ops

Product

Support

Seniority

Senior

Mid

Director

Lead

Manager

Junior

Notable leadership hires: Clinical Medical Director

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About DOMA Technologies

DOMA Technologies, founded in 2000 and based in Virginia Beach, serves federal agencies, healthcare providers, state and local governments, and education institutions. The platform automates the entire data transformation workflow, converting physical, digital, and unstructured data into structured, compliant formats for downstream analytics and operational use. The tech stack reflects healthcare specialization: Epic and Cerner integrations, HL7 v2 and FHIR standards, X12 EDI support, and cloud infrastructure on AWS (Lambda, Glue, Athena, Redshift). Current project portfolio emphasizes case management systems, claims processing automation, appeals and hearings workflows, and remote case review capabilities for military health programs. The company operates with a mix of 47 active roles, concentrated in healthcare and engineering, reflecting both sales-driven growth into regulated verticals and backend platform maturation.

HeadquartersVirginia Beach, Virginia

Company Size201–500 employees

Founded2000

Hiring MarketsUnited States

Frequently Asked Questions

What is DOMA Technologies' tech stack?

Databricks, Apache Spark, Delta Lake, Apache Airflow, AWS services (Lambda, Glue, Athena, RDS, SNS, Redshift), Python, Java, C#, React, Node.js, plus healthcare standards (HL7 v2, FHIR, X12 EDI) and EHR integrations (Epic, Cerner).

What is DOMA Technologies working on?

Case management systems, utilization review automation, appeals and hearings workflows, remote case reviews for military members, FedRAMP-High ATO compliance, SaaS platform MVP delivery, and AI/ML pattern recognition for claims and program monitoring.

How this profile is built

DOMA Technologies'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.