Engineer, Data

Ensemble Health Partners
Remote

About The Position

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: By embodying our core purpose of customer obsession, embracing new ideas, and striving for excellence, you will help ensure every client implementation experience is accurate, seamless, and meaningful as we redefine what’s possible in healthcare. The Healthcare Data Implementation Engineer role supports all new healthcare client implementations and differs from traditional data engineering positions. This role is highly client-facing and validation-focused, requiring deep healthcare data knowledge and strong communication skills alongside technical expertise. The position partners closely with clients and internal teams to validate, interpret, and operationalize complex healthcare and EMR data within Azure-based platforms.

Requirements

  • Required healthcare data experience, including familiarity with healthcare-specific data structures and terminology.
  • Hands-on experience working with EMR systems, with Meditech strongly preferred.
  • Familiarity with healthcare interoperability standards such as HL7.
  • Experience working in client-facing, consultative, or implementation-focused roles.
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.
  • Technical experience with: SQL and data validation techniques Azure tools (e.g., Data Factory, Databricks, Azure Functions, or similar) Python or equivalent scripting languages
  • Strong attention to detail and comfort working with complex, regulated datasets.
  • Ability to balance technical depth with customer service and support-oriented responsibilities.

Nice To Haves

  • Interest in or exposure to AI and machine learning tools, particularly as applied to healthcare data.

Responsibilities

  • Serve as a subject matter expert during new healthcare client implementations, ensuring accurate interpretation and validation of healthcare data.
  • Work directly with client stakeholders in a client-facing capacity to troubleshoot issues, answer data questions, and confirm successful implementations.
  • Validate healthcare datasets to ensure data quality, integrity, and readiness for downstream analytics and operational use.
  • Apply hands-on knowledge of EMR systems.
  • Translate healthcare and EMR data requirements into actionable technical solutions.
  • Support Azure-based data integrations and pipelines used in client onboarding and implementation workflows.
  • Collaborate with internal engineering, analytics, and implementation teams to resolve data issues and improve processes.
  • Contribute to continuous improvement of implementation standards, validation frameworks, and documentation.
  • Participate in design discussions and reviews related to healthcare data use cases.
  • Support the adoption of AI and machine learning tools to enhance healthcare data validation and implementation processes.

Benefits

  • 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.
  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service