Knowtion Health is building the next generation of AI-enabled solutions for healthcare revenue cycle management (RCM). If you're interested in machine learning, generative AI, Azure-native development, and big data analytics, then keep reading!

The Data Engineer supports the development and maintenance of scalable data infrastructure and analytics solutions that align with Knowtion Health’s strategic goals by focusing on building reliable data pipelines, integrating healthcare revenue cycle data, and enabling downstream analytics and operational systems.

What’s Attractive to the Right Candidate?

• Knowtion Health is a growing firm in a growing industry. Our status as a leader in this industry means that we have the resources to invest in the business and to innovate.
• Our business is intensely competitive and is constantly evolving. We quickly identify new challenges and develop solutions, so you won’t simply be doing what was done last year. Our new employees are frequently pleased and surprised by how quickly we make decisions and adapt to market conditions.
• Knowtion Health culture is inviting and competitive, embracing challenge and celebrating accomplishment; dedicated colleagues striving to provide quality results that have lasting impact.

The Opportunity:

• Data Pipeline Development: Design, build, and maintain robust ETL/ELT pipelines using dbt, Python, and SQL to ingest and transform healthcare data from diverse sources.
• Cloud Data Engineering: Work within AWS and Snowflake environments to manage data storage, processing, and access for analytics and operational use cases.
• Collaboration: Partner with data scientists, analysts, and application developers to deliver clean, well-modeled data that supports AI/ML, reporting, and business intelligence.
• Healthcare Data Integration: Develop solutions that integrate healthcare revenue cycle data (e.g., 835/837 files, claim and denial data) into centralized data platforms.
• Data Quality and Governance: Implement data validation, lineage tracking, and governance practices to ensure accuracy, compliance, and traceability.
• Operational Enablement: Support downstream systems such as Artiva and .NET applications by delivering curated datasets and flat files from Snowflake.
• Continuous Improvement: Contribute to the modernization of legacy systems and participate in initiatives to unify data platforms across the organization.

What you bring:

• 2–5 years of experience in data engineering or a related field
• Hands-on experience with dbt, Snowflake, and cloud platforms (preferably AWS)
• Strong SQL
• Moderate Python skills
• Experience with healthcare data, especially revenue cycle management, is highly preferred
• Familiarity with ETL tools, CI/CD workflows, and version control systems (e.g., GitHub)
• Exposure to data governance and compliance frameworks (e.g., HIPAA)

The above statements are intended to provide the general nature and level of work being performed by most people assigned to the position. They are not intended to be an exhaustive list of all responsibilities, duties and requirements.

This position is remote and requires a dedicated, distraction-free work space at home. We offer a competitive benefits package including medical, dental, vision, life insurance, short term disability, long term disability, paid holidays, 401k, and a generous PTO policy.

Knowtion Health gives priority to applicants located in the following states: AL, AR, AZ, FL, GA, ID, IN, KS, ME, MI, MO, MS, NC, NM, OK, PA, SC, TN, TX, VA, WI, WV

Photo Identification and Image Capture Notice

As part of our hiring process, candidates are required to present a valid government-issued photo ID during screening and/or interviews.

We may also capture a photograph during the screening or interview process for identity verification, security, and record-keeping purposes. All identification documents and images will be handled in accordance with applicable privacy laws and accessed only by authorized personnel.

By proceeding with your application, you acknowledge and consent to this process.