Analytics Engineer Jobs in California
Analytics Engineer jobs in California represent one of the most active markets in the country, concentrated in technology, financial services, healthcare, and e-commerce across seniority levels from entry-level data analyst to senior analytics engineer. The heaviest hiring is in San Francisco, Los Angeles, and San Diego, where established employers like Salesforce, Google, and Kaiser Permanente maintain large data teams. The most in-demand specializations include dbt-based data modeling, data pipeline architecture, and business intelligence tooling. Find a role that fits below and apply directly.
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We are hiring an Analytics Product Engineer to build user-facing analytics and AI experiences in our healthcare products.
You will create React- and TypeScript-based dashboards, interactive data views, and embedded analytics agents that help users understand what is happening, investigate why, and take the next appropriate action. You will work within a cross-functional product team and partner closely with Product, Design, AI/Data Science, and Data Services.
This role owns the product experience—not the backend data platform. You will consume governed APIs, data products, semantic metrics, and access controls provided by our Data Services team and turn them into intuitive, reliable analytics applications.
Responsibilities:
- Build polished, production-quality analytics applications using React and TypeScript.
- Create interactive dashboards, visualizations, KPI views, filters, drilldowns, tables, alerts, and exports that make complex information easy to use.
- Embed analytics agents into dashboard workflows so users can ask natural-language questions, investigate anomalies, explain trends, receive context-aware recommendations, and explore supporting evidence.
- Design the agent experience in the product: suggested prompts, conversational interactions, insight cards, citations, confidence indicators, feedback mechanisms, and clear handoff paths.
- Partner with Product and users to understand decision workflows, validate ideas, and help shape a prioritized product backlog.
- Collaborate with the Data Services team to consume governed data APIs, approved metrics, and semantic data products.
- Collaborate with AI/Data Science teams to integrate agent capabilities, model outputs, retrieval, evaluations, streaming responses, and user feedback loops into the product.
- Create reusable front-end components and design patterns for analytics and agent experiences so they can be applied consistently across products.
- Instrument the product to measure adoption, engagement, performance, error rates, agent usefulness, answer quality, and business outcomes.
- Ensure analytics and AI experiences are accessible, secure, explainable, performant, and appropriate for a regulated healthcare environment.
- Participate in discovery, design reviews, sprint planning, demos, and ongoing product improvement.
Skills:
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Business Analytics, Information Systems, Statistics, Mathematics, Engineering, or a related quantitative field.
- Minimum of seven years of relevant professional experience in software/application development.
- Demonstrated experience building production web applications with React and TypeScript.
- Experience building dashboards, data-dense interfaces, interactive visualizations, embedded analytics, or other decision-support products.
- Experience integrating front-end applications with REST or GraphQL APIs, authentication, authorization, and role-based experiences.
- Strong product judgment and the ability to turn complex user workflows and data into clear, usable interfaces.
- Familiarity with modern front-end testing, observability, performance optimization, accessibility, and CI/CD.
- Analytics experience including data concepts, governed metrics, APIs, SQL, and Python. Ability to collaborate effectively across Product, Design, Data Services, AI/Data Science, and business teams.
Preferred qualifications
- Experience integrating AI, LLM, or agent capabilities into customer- or employee-facing products.
- Experience designing conversational or agentic user experiences, including citations, evidence, feedback, quality evaluation, and guardrails.
- Experience with visualization libraries such as ECharts, Vega, Plotly, Recharts, or similar. Experience working in healthcare or another regulated environment.
#LI-JA1
ABOUT THE TEAM
About Stellarus and the Ascendiun Family of Companies
Stellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.
Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company.
Stellarus’ vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus’ objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California’s vision by using innovation to improve quality, affordability, and experience for members.
To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.
Our Values:
At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings.
Our Workplace Model:
We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:
For most teams, this means coming into the office two days per week.
Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.
The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.
Physical Requirements:
Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.
Equal Employment Opportunity:
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.
We are hiring an Analytics Product Engineer to build user-facing analytics and AI experiences in our healthcare products.
You will create React- and TypeScript-based dashboards, interactive data views, and embedded analytics agents that help users understand what is happening, investigate why, and take the next appropriate action. You will work within a cross-functional product team and partner closely with Product, Design, AI/Data Science, and Data Services.
This role owns the product experience—not the backend data platform. You will consume governed APIs, data products, semantic metrics, and access controls provided by our Data Services team and turn them into intuitive, reliable analytics applications.
Responsibilities:
- Build polished, production-quality analytics applications using React and TypeScript.
- Create interactive dashboards, visualizations, KPI views, filters, drilldowns, tables, alerts, and exports that make complex information easy to use.
- Embed analytics agents into dashboard workflows so users can ask natural-language questions, investigate anomalies, explain trends, receive context-aware recommendations, and explore supporting evidence.
- Design the agent experience in the product: suggested prompts, conversational interactions, insight cards, citations, confidence indicators, feedback mechanisms, and clear handoff paths.
- Partner with Product and users to understand decision workflows, validate ideas, and help shape a prioritized product backlog.
- Collaborate with the Data Services team to consume governed data APIs, approved metrics, and semantic data products.
- Collaborate with AI/Data Science teams to integrate agent capabilities, model outputs, retrieval, evaluations, streaming responses, and user feedback loops into the product.
- Create reusable front-end components and design patterns for analytics and agent experiences so they can be applied consistently across products.
- Instrument the product to measure adoption, engagement, performance, error rates, agent usefulness, answer quality, and business outcomes.
- Ensure analytics and AI experiences are accessible, secure, explainable, performant, and appropriate for a regulated healthcare environment.
- Participate in discovery, design reviews, sprint planning, demos, and ongoing product improvement.
Skills:
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Business Analytics, Information Systems, Statistics, Mathematics, Engineering, or a related quantitative field.
- Minimum of seven years of relevant professional experience in software/application development.
- Demonstrated experience building production web applications with React and TypeScript.
- Experience building dashboards, data-dense interfaces, interactive visualizations, embedded analytics, or other decision-support products.
- Experience integrating front-end applications with REST or GraphQL APIs, authentication, authorization, and role-based experiences.
- Strong product judgment and the ability to turn complex user workflows and data into clear, usable interfaces.
- Familiarity with modern front-end testing, observability, performance optimization, accessibility, and CI/CD.
- Analytics experience including data concepts, governed metrics, APIs, SQL, and Python. Ability to collaborate effectively across Product, Design, Data Services, AI/Data Science, and business teams.
Preferred qualifications
- Experience integrating AI, LLM, or agent capabilities into customer- or employee-facing products.
- Experience designing conversational or agentic user experiences, including citations, evidence, feedback, quality evaluation, and guardrails.
- Experience with visualization libraries such as ECharts, Vega, Plotly, Recharts, or similar. Experience working in healthcare or another regulated environment.
#LI-JA1
ABOUT THE TEAM
About Stellarus and the Ascendiun Family of Companies
Stellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.
Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company.
Stellarus’ vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus’ objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California’s vision by using innovation to improve quality, affordability, and experience for members.
To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.
Our Values:
At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings.
Our Workplace Model:
We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:
For most teams, this means coming into the office two days per week.
Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.
The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.
Physical Requirements:
Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.
Equal Employment Opportunity:
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.
See All 76 Analytics Engineer Jobs in California
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Find Analytics Engineer JobsAnalytics Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Analytics Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Science & Research
- Distribution & Wholesale
- Healthcare & Medical Services
What California Employers Look For
The qualifications that appear most often in analytics engineer jobs across California.
- Bachelor's degree in computer science, statistics, mathematics, or a related quantitative field
- Proficiency in SQL and at least one scripting language such as Python or R
- Hands-on experience with data modeling tools, particularly dbt, in a production environment
- Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Amazon Redshift
- Ability to collaborate with data scientists and business stakeholders to translate analytical needs into pipelines
- Experience with version control systems such as Git and comfort working in agile team environments
Analytics Engineer Jobs in California: Frequently Asked Questions
How do you become a analytics engineer in California?
Analytics engineers in California are not required to hold a state-issued license or certification, so the path centers on education and demonstrated technical skill. Most hiring managers expect a bachelor's degree in a quantitative field such as computer science, statistics, or information systems. Building a portfolio of data modeling projects using tools like dbt and SQL, contributing to open-source repositories, and earning vendor certifications from Snowflake or dbt Labs strengthens candidacy considerably in the California market.
How much do analytics engineers make in California?
Analytics 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 analytics engineers in California?
Employers hiring analytics engineers in California right now include Meta, Anduril, and ORB, based on current listings on Migrate Mate as of November 2026. California's concentration of technology headquarters and large healthcare systems means consistent, year-round demand for analytics engineering talent at multiple seniority levels.
Which California cities have the most analytics engineer jobs?
San Francisco, San Jose, and Costa Mesa have the most analytics engineer openings in California. San Francisco's density of technology and fintech companies drives the bulk of demand, while Los Angeles reflects growth in entertainment analytics and e-commerce, and San Diego benefits from life sciences and defense technology employers that have expanded their data teams significantly in recent years.
Are there remote analytics engineer jobs in California?
Yes, and more than most fields. About 73% of analytics engineer openings tied to California are remote or hybrid as of November 2026, reflecting how naturally the role lends itself to distributed work. Data modeling, pipeline development, and BI tool maintenance are almost entirely desk-based, making analytics engineering one of the more remote-accessible technical disciplines across California employers.
How can I get hired as a analytics engineer in California with little or no experience?
The most realistic entry path is moving laterally from a business intelligence analyst or data analyst role, where SQL and reporting skills directly transfer to analytics engineering responsibilities. Large California employers like Salesforce, Google, and Kaiser Permanente run associate data programs and rotational analyst tracks designed for early-career candidates. Building a public portfolio of dbt models and documented data pipelines on GitHub, and earning a dbt Analytics Engineering certification, gives candidates without professional experience a concrete credential that California hiring managers recognize.
Where can I find and apply to analytics engineer jobs in California?
You can find and apply to analytics engineer jobs in California on Migrate Mate, which lists current California openings updated regularly. Find roles that fit your experience and location preferences and apply directly to each employer through the listing.
See All 76 Analytics Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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