Senior Software Engineer, Data & AI Solutions – Billing

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $125k - $156.3k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• 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.

🏖️ 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.