Senior Software Engineer, Data & AI Solutions - Billing

Company: Natera

Location: Location not specified (Remote)

Type: Contract

Remote: Yes

Posted: 2026-06-23

About this role

Position Summary
Natera is seeking an experienced Senior Software Engineer with modern data engineering and AI-enabled development skills with deep expertise in healthcare or biotech data ecosystems to design, build, and maintain data products supporting patient, provider, insurance, billing, and customer support operations. This role will partner closely with analytics, product, clinical, and business teams to ensure high-quality, compliant, and reliable data pipelines that drive reporting, analytics, and operational decision-making.


The ideal candidate combines strong data engineering skills with a computer science background and hands-on experience integrating complex healthcare systems, billing systems, clearinghouses, and payer systems and the ability to work independently in fast moving Customer and Billing domains. In this role, you will develop enterprise-grade data products that power internal business functions (Customer experience, Billing, LabOps and Sales) in tracking performance, measuring outcomes, and making informed operational and strategic decisions. You will also be comfortable moving quickly to prototype novel data products while ensuring solutions evolve into robust, compliant, and scalable platforms.


Primary Responsibilities

  • Design, build, and maintain the data products of the CX(Customer Experience) and Billing domains, from initial design through deployment and iterations
  • Build integrated data pipelines and models across patient, provider, payer, claims, billing, and revenue cycle domains to enable a comprehensive 360° view
  • Design and optimize scalable ETL/ELT pipelines to ingest, process, and integrate structured and semi-structured data from internal and external sources.
  • Design scalable data models to power analytics, reporting, and downstream applications. Maintain high standards of data quality, accuracy, lineage, and observability across data pipelines.
  • Apply best practices for data security, privacy, and...

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