Senior Software Engineer, Data & AI Solutions - Billing

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 compliance (HIPAA, PHI handling)
• Drive rapid prototyping efforts to support exploratory, proof-of-concepts, and early-stage initiatives, while guiding the transition to production-grade systems.
• Implement best practices for data quality, validation, lineage, observability, and reproducibility to enable a trusted 360° view.
• Collaborate with product managers and domain experts to translate requirements into technical solutions
• Establish golden paths (templates, examples, docs) and contribute to shared data product catalogs, patterns, and best practices used by other engineers
• Provide technical guidance and mentorship to mid-level engineers

Required Qualifications

• Bachelor’s or Master’s degree in computer science or engineering with healthcare or biotech data domain experience preferred
• 8+ years of experience in data engineering, designing and maintaining data pipelines and cloud data architectures (e.g, Snowflake, AWS, etc)
• Deep understanding of healthcare data domains including Patient, Provider, Payer, Insurance, Claims, Billing, and Customer Operations processes
• Strong proficiency in Python, SQL, and distributed processing frameworks (Spark or equivalent)
• Experience with modern orchestration tools (Airflow, dbt, Dagster)
• Experience leveraging AI-assisted development tools (e.g., LLM copilots) to accelerate data solution development
• Familiarity with building data products that support analytics, ML, or AI applications
• Strong data modeling expertise (dimensional, normalized, healthcare-specific schemas)
• Experience implementing CI/CD for data pipelines and IaC (Terraform, CloudFormation); Knowledge of data observability, testing, and data quality frameworks
• Demonstrated ownership of production-grade data systems and end-to-end pipeline lifecycle
• Ability to evaluate emerging data and AI technologies and recommend scalable solutions
• Exposure to vector databases, embeddings, semantic search, or RAG-based architectures is a plus
• Proven ability to operate effectively in fast-paced environments, balancing speed, rigor, and compliance
• Strong written and verbal communication skills with ability to collaborate across engineering, analytics, and business stakeholders
• Experience working with healthcare, life sciences, or other highly regulated data, including hands-on HIPAA compliance.

Preferred Qualifications

• Experience in healthcare, pharma, diagnostics, or other regulated industries
• Experience with cloud data platforms (Snowflake or AWS tech stack)
• Experience supporting analytics tools and BI platforms/data visualization tools like Power BI, Qlik Sense, Tableau or similar
• Experience with dbt, Airflow, or similar modern data stack technologies
• Strong problem-solving and analytical thinking, ability to work cross-functionally with technical and non-technical stakeholders

Compensation and Benefits

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $125,000—$156,300 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

What We Offer

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit www.natera.com. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: https://www.natera.com/notice-of-data-collection-california-residents/ Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For More Information BBB announcement on job scams FBI Cyber Crime resource page

Key skills/competency

• Data Engineering
• AI Solutions
• Python
• SQL
• Cloud Data Architectures
• ETL/ELT Pipelines
• Data Modeling
• HIPAA Compliance
• Spark
• Healthcare Data