Senior Software Engineer, Data & AI Solutions - Billing

Natera is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health. They are seeking a Senior Software Engineer to design, build, and maintain data products supporting various operations, ensuring high-quality data pipelines that drive reporting and analytics.

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

Requirements:

• 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
• 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