Natera logo
Natera

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

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2004H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

63 days ago

Salary

$125K - $156.3K / year

Seniority

Senior

Bachelor Degree8 yrs expEnglishAirflowAWSCloudPythonSparkSQLTerraform

Job Description

Senior Software Engineer – Data & AI Solutions

Natera

• Design, build, and maintain the data products that support R&D, analytics, Lab and scientific workflows, from initial design through deployment and iterations. • Build and maintain data pipelines for large and complex datasets, from raw inputs through derived and analysis-ready datasets. • Apply domain knowledge in genetics and bioinformatics to design data models, schemas, and abstractions that align with real research patterns and downstream analysis needs. • Design and enforce de-identification and privacy-preserving architectures that meet HIPAA and related regulatory requirements while remaining usable for research. • Design scalable data models to power analytics, reporting, and downstream applications. • Maintain high standards of data quality, accuracy, lineage, and observability across data pipelines. • Partner closely with R&D scientists, bioinformatics teams, and software engineers to translate research needs into well-structured, reusable data assets. • Optimize storage, retrieval, and lifecycle management for large scientific files (E.g. sequencing data, intermediate artifacts, derived datasets). • 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 bioinformatics 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).
  • Strong background in bioinformatics, genomics, or computational biology (required).
  • Demonstrated experience supporting scientific R&D, Lab workflows, and research teams with production-grade data systems.
  • 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).
  • 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 employees and their dependents.
  • Free testing for employees and their immediate families.
  • Fertility care benefits.
  • Pregnancy and baby bonding leave.
  • 401k benefits.
  • Commuter benefits.
  • Generous employee referral program.

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