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We are a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health.
Senior Software Engineer, Data & AI Solutions – Billing
Location
United States
Posted
4 days ago
Salary
$125K - $156.3K / year
Seniority
Senior
Job Description
Senior Software Engineer, Data & AI Solutions – Billing
Natera
• 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.
Job 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.
Benefits
- Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
- Free testing in addition to fertility care benefits.
- Pregnancy and baby bonding leave.
- 401k benefits.
- Commuter benefits.
- Generous employee referral program.
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