Data Engineer

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 Data Engineer II supports Ensemble’s data engineering strategy by designing, building, andmaintainingreliable data pipelines and integrations that enable analytics, operational reporting, and data-driven decision making. This role focuses on hands-on development within established platforms and patterns, working closely with senior engineers and stakeholders to deliver high-quality, scalable solutions. The engineer contributes to platform modernization efforts while continuing to deepen technicalexpertiseand engineering best practices.

Essential Job Functions

Develop, test, deploy, andmaintaindata pipelines and API integrations using established patterns and standards.

Use generative AI tools toassistwith development, troubleshooting, and improving code quality under guidance.

Translate well-defined product and business requirements into reliable technical solutions.

Participate in design discussions and contribute to code reviews to improve solution quality and consistency.

Implement and support data quality checks to ensureaccurateand reliable production data.

Follow approved architectural patterns and contribute feedback for continuous improvement.

Monitor pipelines and resolve data issues in partnership with senior engineers.

Document solutions, processes, and operationalconsiderations clearlyfor reuse and support.

Qualifications

Required Skills & Experience

3+ years of hands-on experience developing solutions using Microsoft SQL.

2+ years of experience with big data and cloud technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus).

Working knowledge of engineering fundamentals including automated testing, code reviews, telemetry, and DevOps practices.

Experienceworking with EDI

Experience working with modern data storage formats such as Delta Lake and Parquet in ADLS.

Familiarity with distributed data processing and event-driven architectures.

Ability to collaborate effectively with technical and non-technical partners.

Strong attention to detail and accountability for owned deliverables.

Experience working with healthcare data is preferred; familiarity with HL7 or EDI is a plus.

This position pays between $88, 200 - $132,300 based on experience

Must be inquisitive anddemonstrateopenness toinnovationincludingAIto explore better processes and ways to alleviate friction and improve patient and client experiences.

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” 2020-2022, 2024-2025

Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024

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