Engineering Excellence Intern

Thank you for considering a career at Ensemble Health Partners!

Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!

O.N.E Purpose:

• Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.

• Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.

The Opportunity:

The Engineering Excellence Intern will work closely with cross-functional team members such as engineering managers, engineering analysts and data engineers to support the Engineering Excellence team.  The focus will be on software engineering best practices, training, goals and metrics. This role is designed for students or recent graduates eager to gain hands-on experience in a software engineering environment, specifically how the engineering teams operate. The intern will contribute to real projects, learn industry best practices, and develop skills in problem-solving, collaboration, and communication within a dynamic, mission-driven environment. 

This internship is 10 weeks starting June 1st going until August 7th and will be fully remote

Core Competencies 

• Valuing Differences: Works effectively with individuals of diverse backgrounds and perspectives; seeks out and values unique ideas. 

• Collaboration: Partners with others to achieve team goals; focuses on collective success. 

• Accountability: Takes responsibility for assigned tasks and follows through on commitments. 

• Time Management: Manages time and resources efficiently to meet deadlines. 

• Developing Trust: Acts with integrity and respect; supports others and builds confidence. 

• Initiative: Proactively seeks opportunities to contribute and learn. 

Essential Responsibilities 

• Analyze and document processes, as well as identifying opportunities for improvement or automation. 

• Assist in gathering and documenting requirements for new or revised metrics. 

• Contribute to the development and testing of new or revised metrics.

• Prepare and present training materials for new or revised metrics. 

• Validate existing metrics each week to ensure accuracy. 

• Analyze data sets to identify trends, anomalies and issues, and recommend solutions. 

• Participate in meetings with engineering leaders regarding reports and metric values. 

• Participate in training sessions, workshops, and networking events as part of the internship program. 

Qualifications 

• Enrolled in an accredited Bachelor’s or Master’s program (preferred fields: Business, Computer Science, Engineering, Mathematics or related). Overall GPA of 3.5 with GPA of 3.7 preferred in major. 

• Strong analytical and problem-solving skills. 

• Excellent written and verbal communication skills. 

• Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word); familiarity with data analysis tools (e.g., SQL, Python, or R) is a plus. 

• Interested in healthcare technology and process improvement 

• Ability to work independently and as part of a team 

• Eastern or central time zone preference to align with availability of the team 

• No prior experience required; curiosity and willingness to learn are essential 

Program Benefits 

• Mentorship from experienced software engineers, data engineers and analysts.