Data Science Engineer Jobs in California
Data Science Engineer jobs in California are among the most active in the country, concentrated in technology, finance, healthcare, and entertainment across seniority levels from entry-level analyst to principal engineer. San Francisco, Los Angeles, and San Diego anchor the bulk of hiring, with major employers such as Google, Apple, and Kaiser Permanente maintaining large data engineering teams throughout the state. The most in-demand specialties are machine learning infrastructure, real-time data pipelines, and AI platform engineering. Find a role that fits below and apply directly.
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INTRODUCTION
This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products.
ROLE AND RESPONSIBILITIES
Primary Responsibilities
Strategy and Vision:
- Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development.
- Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices.
Infrastructure and Automation:
- Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms.
- Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production.
Cross-Functional Collaboration:
- Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization.
Team Leadership:
- Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership.
- Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health.
BASIC QUALIFICATIONS
- Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent).
- Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams.
- Hands-on experience architecting AWS cloud infrastructure for data-intensive bioinformatics workloads and NGS pipeline execution.
- Demonstrated ability to identify capability gaps independently, build scalable infrastructure, and drive execution without waiting for formal structure.
- Strong communicator who builds cross-functional alignment across Research, Engineering, and Quality teams through technical clarity, direct engagement, and data-driven reasoning.
- Track record of developing bioinformatics talent and delivering computational pipelines that support commercial product development.
PREFERRED QUALIFICATIONS
- Experience developing software and pipelines within regulated environments (CLIA, FDA, or ISO framework).
- Experience with MLOps frameworks and pipeline tools (MLflow, Nextflow, WDL, Docker).
- Advanced knowledge of statistical inference, machine learning, and genomic data processing.
COMPENSATION & TOTAL REWARDS
This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations. This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including:
- Annual performance incentive bonus
- Long-term equity awards
- Comprehensive health benefits (medical, dental, vision)
- 401(k) with company match
- Generous paid time off and company holidays
- Additional wellness and work-life benefits
Compensation Range: $195,600—$244,450 USD
OUR OPPORTUNITY
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.
What We Offer
Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!
Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
For More Information
- BBB announcement on job scams
- FBI Cyber Crime resource page
See All 106+ Data Science Engineer Jobs in California
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Find Data Science Engineer JobsData Science Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Data Science Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software24
- Electronics & Hardware4
- Biotechnology & Pharmaceuticals4
- Consulting & Professional Services4
- Retail3
What California Employers Look For
The qualifications that appear most often in data science engineer jobs across California.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and SQL for data processing and model deployment pipelines
- Experience designing and maintaining large-scale distributed data systems or cloud infrastructure
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Demonstrated ability to build and monitor production-grade ETL or feature engineering pipelines
- Experience with cloud platforms such as AWS, Google Cloud, or Azure in a data engineering context
Data Science Engineer Jobs in California: Frequently Asked Questions
How do you become a data science engineer in California?
Data science engineering in California has no state-issued license or board exam, so the path runs through education and demonstrated technical skill. Most California employers expect at minimum a bachelor's degree in computer science, mathematics, or statistics, with many preferring a master's for senior roles. Building a portfolio of end-to-end projects covering data pipelines, model deployment, and cloud infrastructure is the practical differentiator California hiring teams look for most.
How much do data science engineers make in California?
Data science engineers in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science engineers in California?
Employers hiring data science engineers in California right now include TikTok, Adobe, and Apple, based on current listings on Migrate Mate as of August 2026. California's concentration of technology headquarters, large health systems, and financial services firms means demand is distributed across both the Bay Area and Southern California year-round.
Which California cities have the most data science engineer jobs?
San Jose, San Francisco, and San Diego have the most data science engineer openings in California. The Bay Area leads because of its concentration of technology headquarters and AI-focused startups, while Los Angeles draws demand from the entertainment, media, and fintech sectors, and San Diego's presence of biotech and defense firms creates consistent openings there as well.
Are there remote data science engineer jobs in California?
Yes, and more than most fields. About 51% of data science engineer openings tied to California are remote or hybrid as of August 2026, reflecting how central data science engineering is to software-driven organizations that operate distributed teams. The portions of the role most commonly offered remotely are model development, pipeline architecture, and analytics engineering, while on-site expectations tend to apply to roles embedded in hardware, lab, or regulated healthcare environments.
How can I get hired as a data science engineer in California with little or no experience?
The most realistic entry path is moving from a closely adjacent role such as data analyst, machine learning engineer, or software engineer into a data science engineering function. Large California employers including technology companies and health systems like Kaiser Permanente run internship and new-graduate programs that feed directly into engineering tracks. Building a portfolio that demonstrates pipeline construction and model deployment in a cloud environment gives candidates without formal experience a concrete edge when applying to associate or junior engineer openings.
Where can I find and apply to data science engineer jobs in California?
You can find and apply to data science engineer jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Find the roles that fit your background and apply directly to the ones that match.
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