Data pipeline and warehouse services for CMS and claims systems
AppWorks is a small data engineering consultancy built around GCP infrastructure (BigQuery, Dataflow, Apache Beam) and orchestration (Airflow), with secondary Azure and AWS capability. The tech stack reveals a data platform specialist: the company is tackling scalable ETL, warehouse architecture, and pipeline governance—recurring pain points they list as cost efficiency, data quality compliance, and claims accuracy. The 11–50 headcount and senior-heavy hiring mix (3 senior, 1 manager across 6 open roles) suggest a project-driven model targeting mid-market and enterprise clients with complex data infrastructure.
AppWorks delivers data engineering and AI solutions to clients in insurance, content management, and compliance-heavy verticals. Founded in 2023 and based in Irving, Texas, the company operates as a self-owned firm with 11–50 employees. Core work centers on building and optimizing ETL pipelines (Dataflow, Beam, Airflow), BigQuery warehouse architecture, and data governance—evidenced by active projects around CMS dataset pipelines, DAG orchestration, and audit compliance. The company also maintains secondary services around testing (Plexis system) and claims operations improvement. Technology choices (GCP-first, Kubernetes containerization, GitLab CI/CD) reflect an infrastructure-as-code maturity and DevOps discipline typical of technical services firms.
Primary: GCP (BigQuery, Dataflow, Beam), Apache Airflow, Python, SQL. Secondary: AWS, Azure, Kubernetes, Docker, Terraform, GitLab CI/CD, Jenkins. Productivity: Jira, Confluence, Google Workspace, Microsoft Office suite.
Scalable ETL pipelines for CMS datasets, BigQuery data warehouse architecture, Airflow DAG orchestration, Plexis system testing, and audit compliance documentation.
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