Clinician Nexus enables health care organizations to build thriving clinician teams with industry-leading technology products, workforce and compensation analytics, and automated workflow solutions. Backed by extensive technical expertise and industry-leading data, we deliver innovative approaches to help clients plan, educate, and engage their clinical workforce at every stage of the lifecycle. We are committed to providing our clients with outstanding guidance and support as they work to shape the future of health care.
Data Platform Internship
Location
United States
Posted
86 days ago
Salary
$30 / hour
Seniority
Mid Level
No structured requirement data.
Job Description
Data Platform Internship
SCH SERVICES INC
Role Description As a Data Platform Intern, you will work closely with experienced engineers on real-world projects that contribute directly to our data platform's growth and maturity. You'll get hands-on experience with tools and technologies like AWS, Databricks, Terraform, Kafka, Reltio, and more—while sharpening your Python, Git, and infrastructure-as-code (IaC) skills. You'll also develop fluency in AI-assisted development practices that are becoming standard across modern engineering teams. You will gain exposure to modern cloud data architectures, data governance practices, and DevOps workflows. This is a great opportunity to learn how to build data systems that scale and deliver impact in a real production environment—using AI tools to work smarter and move faster. - Assist in developing and maintaining data pipelines using Python, Databricks, and Delta Lake. - Support infrastructure provisioning and automation using Terraform, Git, and other IaC tools. - Contribute to the design and optimization of data ingestion, enrichment, and streaming processes on AWS and Kafka. - Learn and apply data modeling techniques in platforms such as Reltio (Master Data Management). - Leverage AI-assisted tools to accelerate development, improve code quality, and support documentation and troubleshooting workflows. - Collaborate with engineers across platform, governance, and analytics teams to deliver reliable, high-quality data assets. - Write clean, maintainable code and participate in code reviews and agile ceremonies. - Document processes, tooling, and learnings to support internal knowledge sharing. Qualifications - Must be available Monday, June 1st through Friday, August 21st, 2026. - Must be pursuing an undergraduate or graduate degree in a technical discipline. Other majors may be considered based on relevance and experience. - Preferred graduation date of June 2026 or before. - Minimum GPA of 3.0. - Strongly prefer Python coding skills, Git version control, and/or cloud technologies. - Comfort using AI tools as part of a development workflow is a plus. - Competent interpersonal, verbal, and writing skills are required. - Ability to prioritize and manage multiple projects. - Strong organizational skills and ability to manage and execute tasks in a high-pressure environment. - Strong attention to detail. Requirements - Self-starter with demonstrated ability to successfully assist with project deliverables in a driven and dynamic organization. - Flexibility, adaptability, and the ability to work under tight deadlines or changing needs. - Confidence and ability to work independently and in a team structure. - Exceptional collaboration and team orientation skills. - High level of self-motivation. - Intellectual curiosity, including an openness to adopting AI tools and emerging best practices in data engineering. Work Environment - This role is fully remote. Must be physically able to perform the essential functions of the job. - This role will pay $30 per hour. Company Description SullivanCotter Holdings, Inc. is an Equal Employment Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law or marital status.
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