Sr. Engineer, Data
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:
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Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
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Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
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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 Senior Data Engineer plays a critical role in implementing Ensemble’s data engineering strategy. This role focuses on building scalable, reusable data pipelines and platforms that enable analytics, operational reporting, and innovation across the organization. The engineer partners closely with peers and stakeholders, influences engineering standards through design and code reviews, and contributes directly to long-term platform modernization.
Essential Job Functions
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Develop, test, deploy, monitor, and continuously improve scalable data pipelines and API integrations.
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Apply generative AI tools in day-to-day engineering work to accelerate development and improve quality.
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Translate product and business concepts into incremental, high-quality technical deliverables.
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Contribute through hands-on design sessions and thorough code reviews.
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Implement data quality monitoring to ensure accurate, reliable production data.
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Review and recommend architectural patterns aligned with enterprise platforms and best practices.
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Consistently applies generative AI in day‑to‑day engineering work - using it to accelerate development, improve code quality, troubleshoot complex systems, and design scalable data solutions.
Qualifications
Required Skills & Experience
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6+ years of hands-on experience developing solutions using Microsoft SQL.
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3+ years working with big data technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus).
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Strong understanding of engineering fundamentals including automated testing, code reviews, telemetry, iterative delivery, and DevOps.
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Experience with polyglot storage architectures including relational, columnar, key-value, and graph systems.
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Hands-on experience with Delta Lake tables and Parquet data stored in ADLS.
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Experience building distributed, componentized applications using event-driven patterns.
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Ability to communicate effectively with both technical and non-technical, globally distributed audiences.
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Solid foundation in software architecture, design patterns, and engineering best practices.
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Experience working with healthcare datasets; familiarity with HL7 or EDI is a plus.
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High attention to detail and a strong sense of ownership.
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This position pays between $101,600 - 175,200 based on experience
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Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences.
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This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.
Join an award-winning company
Five-time winner of “Best in KLAS