Analytics-ready healthcare claims and provider affiliation data for life sciences
McKesson Compile turns fragmented healthcare datasets into normalized claims and provider affiliation data for life science teams. Its stack pairs Scrapy-based crawling with Spark, Airflow, Prefect and Snowflake across AWS, Azure and GCP, alongside Selenium, Tosca and REST Assured for testing. Senior-heavy engineering hiring, concentrated in India, centers on AI-enabled test automation and validating RAG-driven behavior, which points to AI features moving into production.
McKesson Compile is a healthcare data company headquartered in Irving, Texas, with 51–200 employees. It supplies life science companies with patient claims and provider affiliation datasets that are cleaned, deduplicated and enriched with modeled variables. The offering includes reference and affiliation intelligence with relationship scoring and configurable hierarchies, delivered through a high-touch service model. Engineering runs on Java, Spring Boot, React and Python, with data infrastructure on Snowflake, Kafka and Kubernetes.
McKesson Compile builds with Java, Spring Boot, React, TypeScript and Python. Its data work runs on Kafka, Spark, Airflow, Prefect and Snowflake, deployed on AWS, Azure and GCP with Kubernetes and Docker.
Yes. Current hiring is entirely in engineering and mostly at senior level, with roles based in India. Hiring velocity is accelerating, and the roles focus on AI test automation and data pipelines.
McKesson Compile is headquartered in Irving, Texas, United States, and has 51–200 employees.
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McKesson Compile'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 →
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