Judi Health 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 origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Data Engineering Summer Intern
Location
United States
Posted
3 days ago
Salary
$35 - $40 / year
Seniority
Entry Level
No structured requirement data.
Job Description
Role Description
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.
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
Requirements
- Experience as a Data Engineer, ideally in the healthcare or PBM sector
- Knowledge of Airflow, dbt, Snowflake, and SQL development and Python experience
Benefits
- Salary Range: $35 - $40 USD
Job Requirements
- 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
- Experience as a Data Engineer, ideally in the healthcare or PBM sector
- Knowledge of Airflow, dbt, Snowflake, and SQL development and Python experience
Benefits
- Salary Range: $35 - $40 USD
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
The role involves designing, developing, and optimizing data pipelines within Snowflake for the DoD's Analytics Platform, focusing on seamless data ingestion, transformation, and processing. Key tasks include building ETL/ELT workflows using Snowflake features, optimizing database structures, and integrating data from diverse sources.
Healthcare Insights - Staff Data Engineer, AI & Context Platform
HuronHuron is a global professional services firm elevating the vision of what's possible and then putting it into practice.
This hands-on technical leader will build core AI/context data capabilities, owning key parts of the platform like unstructured ingestion, embeddings, retrieval, semantic layers, and governance. Responsibilities include designing and implementing end-to-end data pipelines, improving retrieval quality, defining semantic layers, and ensuring operational excellence and AI safety.
Lead Data Engineer
The State Bar of CaliforniaThe State Bar of California’s mission is to protect the public and includes the primary functions of licensing, regulation, and discipline of attorneys; the advancement of the ethical and competent practice of law; and support of efforts for greater access to, and inclusion in, the legal system. Clarity Investing in Our People Excellence Respect Growth Mindset
The Lead Data Engineer will define and drive the modernization of the data infrastructure using Microsoft cloud technologies, leading the development of scalable, automated data pipelines and establishing governance standards. This role involves guiding cross-functional teams to deliver data-driven solutions supporting Analytics, AI, compliance, and operational efficiency.
Big Data Engineer / Developer
Accenture Federal ServicesWe believe in the power of change, harnessed in ways that matter for our country and communities.
GCP Data Pipeline Developer & BigQuery Data Engineer at Accenture Federal Services


