Senior Software Engineer/Tech Lead, Data & AI Engineering @Natera
Software Development
Salary usd 150,400 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2d ago

[Hiring] Senior Software Engineer/Tech Lead, Data & AI Engineering @Natera

2d ago - Natera is hiring a remote Senior Software Engineer/Tech Lead, Data & AI Engineering. 💸 Salary: usd 150,400 - 188,000 per year 📍Location: USA

Role Description

Natera is a global leader in cell-free DNA testing, serving patients across oncology, women’s health, and organ health. Our Data & AI organization builds the enterprise data platform and AI systems that turn clinical, genomic, and operational data into products that improve patient care and accelerate the business.

We are looking for a Data & AI Engineering Tech Lead to set the technical direction for a solutions team that builds analytics and AI solutions directly for business stakeholders:

  • Data and AI pipelines
  • Data models
  • Semantic layers
  • Agents, dashboards, and data products

This is a hands-on, senior individual contributor role: you will write production code, own architecture and design decisions for the solutions your team delivers, and raise the engineering bar through design leadership, code review, and mentorship.

This team is AI-native by design. We expect engineers to use AI coding harnesses and agentic tooling as a core part of how they build, test, document, and operate solutions, and we expect the Tech Lead to model and scale those practices across the team. You will work in a regulated environment where data quality, lineage, and privacy are core requirements of every solution we ship.

The ideal candidate is a strong engineer first, with a product mindset toward business outcomes, the judgment to make pragmatic architectural tradeoffs, and the communication skills to align engineers, product managers, and business stakeholders around them.

Qualifications

  • 7+ years of data or software engineering experience, including 2+ years leading technical design and delivery for a team or major workstream, ideally building analytics solutions for business users.
  • Demonstrated ability to mentor engineers, run effective design and code reviews, drive technical consensus, and communicate clearly with technical and non-technical audiences.
  • Demonstrated, hands-on use of AI coding assistants and agentic tools in daily engineering work, with a point of view on how to use them well.
  • Expert-level SQL and strong Python, with a track record of shipping and operating production data pipelines and data models at scale.
  • Deep experience with a modern cloud data warehouse and cloud infrastructure (Snowflake/AWS preferred).
  • Hands-on experience with transformation frameworks (dbt or equivalent) and workflow orchestration (Airflow, Dagster, Prefect, or similar).
  • 1-2 years of practical background building with LLM frameworks (LangChain, LangGraph, or equivalent) alongside managed AI services and model routing gateways like Snowflake Cortex, AWS Bedrock, and foundational APIs.
  • Strong grounding in analytical data modeling (dimensional or domain-driven), semantic layers, data quality engineering, and CI/CD for data systems.

Requirements

  • Experience in healthcare, life sciences, or another regulated domain handling PHI or other sensitive data.
  • Experience with lab data management systems, lab informatics systems, bioinformatics pipelines is a plus.
  • Snowflake experience, including performance tuning, cost management, and features such as dynamic tables, Snowpark, or Cortex.
  • Sigma experience, or experience with comparable BI and semantic-layer tools (Looker, Tableau, Power BI), and an understanding of how to design data models for self-service consumption.
  • Experience building and operating agentic or LLM-based workflows within the data development lifecycle.
  • Experience with infrastructure-as-code (Terraform) and data observability tooling.
  • Experience integrating with Salesforce, laboratory information systems, or EHR data sources.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.

Benefits

  • Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
  • Free testing for Natera employees and their immediate families in addition to fertility care benefits.
  • Pregnancy and baby bonding leave.
  • 401k benefits.
  • Commuter benefits.
  • A generous employee referral program.

Company Description

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.

Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Software Engineer/Tech Lead, Data & AI Engineering @Natera
Software Development
Salary usd 150,400 - 1..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2d ago
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
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Application Denied ✓
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