Data Engineering Summer Intern (Graduate Level)
Capital RxDenver, Colorado, United States; New York, New York, United States; RemotePosted 26 March 2026
Job Description
About Judi Health
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:
Capital Rx , a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,
Judi Health™ , which offers full-service health benefit management solutions to employers, TPAs, and health plans, and
Judi® , the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health .
Location: Remote or Hybrid (NYC, Denver)
Position Summary:
We are seeking a highly motivated and talented Data Engineering Intern to join our team and play a critical role in shaping the future of healthcare data management. This individual will be involved in supporting building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes.
Position Responsibilities
:
Partner closely with operational and analytics teams to translate business needs into effective data solutions
Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift
Conduct testing to ensure the flawless execution of data pipelines before production deployment
Proactively identify and resolve data-related issues, ensuring system reliability and data integrity
Provide ongoing maintenance and support for data infrastructure
Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
Required Qualifications:
Pursuing a Masters degree in Computer Science, Information Technology, or a related field
Knowledge of Python (or Java), SQL, JSON, and XML
Knowledge of data warehousing architecture techniques and familiarity with Kimball methodology
A strong interest in data engineering, displaying the ability to design, implement, and maintain complex data pipelines
Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth
Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders
A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges
Preferred Qualifications:
Experience as a Data Engineer, ideally in the healthcare or PBM sector
Knowledge of Airflow, dbt, Snowflake, and SQL development and Python experience
This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
About Capital Rx
Capital Rx is a health technology company providing claim administration and technology solutions for carriers, health plans, TPAs, employer groups, and government entities. As a public benefit corporation, Capital Rx is executing its mission to materially reduce healthcare costs as a full-service PBM and through the deployment of Judi®, the company’s cloud-native enterprise health platform. Judi connects every aspect of the healthcare ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of benefits and rebuilding trust in healthcare.
Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national orig ... (truncated, view full listing at source)
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