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Ensemble Developer Jobs (NOW HIRING)

Ensemble Health Partners, Inc.

AVP Cybersecurity

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare ... The Director partners closely with engineering, product, and infrastructure leaders to embed ...

Keylent Inc

Sr Developer

Manhattan, NY · On-site

$60 - $79.25/hr

Keylent Inc is seeking a Sr Developer to work across the InterSystems technology stack. The role ... Required : • Cache ObjectScript • Ensemble and/or HealthShare • SQL writing & analyzing ...

Ensemble Health Partners, Inc.

Sr. Product Manager

$101K - $152K/yr

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare ... Maintain alignment with engineering on priorities, coordinate testing with operations, and ensure ...

Ensemble Health Partners, Inc.

Principal Architect

$148K - $223K/yr

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare ... Partner with ML engineers to embed security controls throughout the model lifecycle - from data ...

College Board

Lead Engineer, Secure Client Engineering

$104K - $138K/yr

Through ensemble programming, also known as mob programming, we bring a hands-on, high-trust approach to engineering that values curiosity, craftsmanship, and continuous learning. Aboutthe ...

Collegeboard

Lead Engineer, Secure Client Engineering

$104K - $138K/yr

Through ensemble programming, also known as mob programming, we bring a hands-on, high-trust approach to engineering that values curiosity, craftsmanship, and continuous learning. Aboutthe ...

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Ensemble Developer information

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$23K

$97.3K

$155K

How much do ensemble developer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for ensemble developer in the United States is $97,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What is an ensemble developer?

Ensemble Developers are professionals who work with InterSystems Ensemble, a platform used for integrating, developing, and deploying healthcare and business applications. They design, build, and maintain solutions that connect various systems, manage data flows, and ensure seamless interoperability. Their role often involves writing code, configuring interfaces, troubleshooting issues, and optimizing performance within the Ensemble environment. Ensemble Developers are crucial in organizations that require reliable data exchange across different software systems, particularly in healthcare IT.

What are the key skills and qualifications needed to thrive as an ensemble developer?

To thrive as an Ensemble Developer, you need a solid understanding of InterSystems Ensemble architecture, data integration concepts, and programming proficiency in languages like ObjectScript or Java, typically supported by relevant computer science education. Familiarity with Ensemble tools, HL7/FHIR integration engines, and certifications such as InterSystems Certified HealthShare Health Connect Specialist are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with stakeholders and troubleshoot integration challenges. Mastery of these skills ensures reliable healthcare data exchange, system interoperability, and efficient project delivery in complex environments.

How does an ensemble developer typically collaborate with healthcare teams during the integration of clinical systems?

Ensemble Developers regularly work with clinical, administrative, and IT teams to ensure seamless integration of healthcare systems, such as electronic health records and lab information systems. This collaboration often involves gathering requirements from end-users, troubleshooting data flow issues, and providing technical support during go-live phases. Effective communication and a deep understanding of both technical and clinical workflows are essential, as developers bridge the gap between software capabilities and user needs. Regular meetings and cross-functional problem-solving are standard practices in this role.

What is the difference between Ensemble Developer vs Data Engineer?

AspectEnsemble DeveloperData Engineer
Required CredentialsBachelor's in Computer Science or related field; programming skillsBachelor's in Computer Science, Data Science, or related; strong programming and database skills
Work EnvironmentSoftware development teams, healthcare or financial sectorsData infrastructure teams, tech companies, large enterprises
Industry UsagePrimarily in healthcare, finance, and software developmentAcross tech, finance, healthcare, and retail sectors
Common Search/ComparisonEnsemble Developer vs Data Engineer

Ensemble Developers focus on building and maintaining ensemble modeling systems, often in healthcare or finance. Data Engineers design and manage data pipelines and infrastructure. While both roles require programming skills and work with data, Ensemble Developers specialize in model integration, whereas Data Engineers focus on data architecture and processing pipelines.

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Ensemble Developer jobs near you
Infographic showing various Ensemble Developer job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $97,340 per year, or $46.8 per hour.

AI / Machine Learning Talent

San Jose, CA • On-site

Ensemble Health Partners, Inc.
Health Care and Social Assistance • 5 - 10K employees
Learn more about Ensemble Health Partners, Inc.external

Full-time

Medical, Retirement

Re-posted 25 days ago

Ensemble Health Partners rating

6.6

Company rating: 6.6 out of 10

Based on 246 frontline employees who took The Breakroom Quiz

Job description

Thank you for considering a career at Ensemble!
Ensemble 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:
AI Lab - AI/ML Opportunities
Location: San Jose, CA (Hybrid - Onsite 3x per week on Tues, Wed, Thurs)
About Ensemble's AI Lab
Ensemble Health Partners is the leading Revenue Cycle Management (RCM) partner to U.S. health systems. We sit between hospitals, payers, and patients, and we are responsible for billions of dollars of healthcare revenue moving accurately and on time. AI is increasingly central to how we do that work - from predicting denials and automating coding to flagging payment integrity issues and routing accounts to the right action at the right time. These roles exists where those AI systems meet the business outcomes we are paid to deliver.
We are continuously building a pipeline of exceptional AI/ML talent across research, data science, and engineering. This general application allows candidates to be considered for multiple roles across the AI Lab. Final role alignment (e.g., Data Scientist, AI Research Scientist, Machine Learning Engineer) and leveling will be determined based on interview performance, experience, and team needs.
What You'll Work On
Depending on your background and strengths, you may:
  • Design, build, evaluate, and improve machine learning and AI systems in production environments
  • Translate business problems into AI/ML solutions and measurable outcomes
  • Develop and run experiments to evaluate models, including defining metrics, datasets, and success criteria
  • Productize models into scalable, reliable, and cost-efficient services
  • Optimize training and inference performance (latency, throughput, cost)
  • Analyze real-world system behavior and production data to drive continuous improvements
  • Partner cross-functionally with engineering, product, and domain experts to deliver end-to-end solutions
  • Contribute to AI research, experimentation, and adoption of new techniques where applicable
  • Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical stakeholders

What We're Looking For
We are hiring across a range of profiles, but strong candidates will demonstrate:
  • Proven experience working with machine learning or AI systems in real-world or production settings
  • Strong problem-solving skills and ability to operate in ambiguous, evolving environments
  • Ability to connect technical work to measurable business or product outcomes
  • Experience collaborating across teams (engineering, product, data, or research)
  • Ownership mindset-taking work from idea through execution and impact

Technical Skills (vary by role)
Candidates may have experience with some combination of:
  • Programming: Python (required), plus familiarity with SQL and other languages (e.g., Java, C++, Go)
  • Machine Learning: Model development, evaluation, and optimization
  • Deep Learning: Frameworks such as PyTorch, TensorFlow, Hugging Face
  • LLMs & Modern AI: Fine-tuning, prompt engineering, evaluation frameworks, or emerging techniques (e.g., PEFT, RLHF)
  • Data & Analytics: Statistics, experimentation, causal inference, and working with real-world datasets
  • Systems & Infrastructure (Engineer-leaning candidates):
    • Model serving, APIs, and distributed systems
    • Training at scale (e.g., multi-GPU / distributed training)
    • Performance optimization and cost efficiency
  • Research (Research-leaning candidates):
    • Experiment design, evaluation rigor
    • Reading and applying state-of-the-art research
    • Publication or novel contributions (preferred, not required)

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field required
  • Master's or PhD preferred for certain roles (especially research-oriented positions), but not required for all paths
  • Relevant industry experience typically ranges from 3+ years (Senior) to advanced leadership/ownership experience (Staff/Principal)

The base salary range for these roles is $154,100 to $341,600.
Join an award-winning company
Five-time winner of "Best in KLAS" 2020-2022, 2024-2025
Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
Energage Top Workplaces USA 2022-2024
Fortune Media Best Workplaces in Healthcare 2024
Monster Top Workplace for Remote Work 2024
Great Place to Work certified 2023-2024
  • Innovation
  • Work-Life Flexibility
  • Leadership
  • Purpose + Values

Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
  • Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
  • Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
  • Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
  • Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.
Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com.
This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range.
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