Senior Business Intelligence Engineer Jobs in California
Senior Business Intelligence Engineer jobs in California represent one of the most active markets in the country, concentrated in technology, financial services, healthcare, and e-commerce across the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, and Kaiser Permanente maintain large, established BI engineering teams in the state and hire consistently at the senior level. The most in-demand specialties include cloud data warehousing, self-service analytics platform development, and business-facing data modeling. Find a role that fits below and apply directly.
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Showing 5 of 108+ Senior Business Intelligence Engineer jobs
Required skills
- Data Analytics and AI
- Data Analytics and AI
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Job Location: 135 Constitution Drive, Menlo Park, CA 94025.
ELT: Data Analytics and AI
REQ ID: ASHREQ-8304
Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies.
AS A BUSINESS INTELLIGENCE ANALYST, PRODUCT FINANCE (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL:
Serve on the Finance BI team and partner with Product Finance to deliver business intelligence reporting that supports Engineering and Finance teams. Product Finance analyzes costs associated with the development of Snowflake’s product, in particular, cloud spend. Develop applications and manage data pipelines that power financial reporting, streamline QBR workflows, and surface actionable insights that will optimize spending at Snowflake. Collaborate with analysts across Finance on quarterly ad-hoc analyses utilizing SQL, Python, and BI tools, as well as data best practices and stakeholder engagement. Design and develop AI-driven solutions to automate financial workflows, analyses, and insight generation. Responsible for building machine learning and generative AI models to identify cost anomalies, forecast cloud spend, and recommend optimization strategies. Develop scalable data models and agentic automation frameworks that autonomously gather data, execute multi-step analyses, and generate executive-ready insights, while integrating Python-based analytical and ML workflows into production BI environments. Collaborate cross-functionally with Finance, Engineering, and Data teams to deploy AI-enabled applications that improve operational efficiency, reduce manual analysis, and enhance strategic planning. Telecommuting permitted.
Minimum Requirements for Position:
Master’s degree or foreign equivalent in Business Analytics, Business Intelligence or related field, and 1 year of experience in the job offered or related occupation.
Education or experience must include:
Utilizing SQL, including analyzing data, standardizing queries, and building large-scale relational datasets.
Utilizing Python and application development, with an emphasis on scalability and user experience.
Developing and deploying enterprise-grade Business Intelligence (BI) tools, such as Streamlit, Tableau or Looker
Utilizing AI and AI prompt development
The base salary range for this role is $142,438 - $150,150
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Required skills
- Data Analytics and AI
- Data Analytics and AI
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Job Location: 135 Constitution Drive, Menlo Park, CA 94025.
ELT: Data Analytics and AI
REQ ID: ASHREQ-8304
Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies.
AS A BUSINESS INTELLIGENCE ANALYST, PRODUCT FINANCE (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL:
Serve on the Finance BI team and partner with Product Finance to deliver business intelligence reporting that supports Engineering and Finance teams. Product Finance analyzes costs associated with the development of Snowflake’s product, in particular, cloud spend. Develop applications and manage data pipelines that power financial reporting, streamline QBR workflows, and surface actionable insights that will optimize spending at Snowflake. Collaborate with analysts across Finance on quarterly ad-hoc analyses utilizing SQL, Python, and BI tools, as well as data best practices and stakeholder engagement. Design and develop AI-driven solutions to automate financial workflows, analyses, and insight generation. Responsible for building machine learning and generative AI models to identify cost anomalies, forecast cloud spend, and recommend optimization strategies. Develop scalable data models and agentic automation frameworks that autonomously gather data, execute multi-step analyses, and generate executive-ready insights, while integrating Python-based analytical and ML workflows into production BI environments. Collaborate cross-functionally with Finance, Engineering, and Data teams to deploy AI-enabled applications that improve operational efficiency, reduce manual analysis, and enhance strategic planning. Telecommuting permitted.
Minimum Requirements for Position:
Master’s degree or foreign equivalent in Business Analytics, Business Intelligence or related field, and 1 year of experience in the job offered or related occupation.
Education or experience must include:
Utilizing SQL, including analyzing data, standardizing queries, and building large-scale relational datasets.
Utilizing Python and application development, with an emphasis on scalability and user experience.
Developing and deploying enterprise-grade Business Intelligence (BI) tools, such as Streamlit, Tableau or Looker
Utilizing AI and AI prompt development
The base salary range for this role is $142,438 - $150,150
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
See All 108+ Senior Business Intelligence Engineer Jobs in California
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Find JobsSenior Business Intelligence Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Senior Business Intelligence 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
- Education
- Healthcare & Medical Services
- Food & Beverage
What California Employers Look For
The qualifications that appear most often in senior business intelligence engineer jobs across California.
- Bachelor's or master's degree in computer science, data engineering, information systems, or a related field
- Five or more years of experience with SQL, data warehousing, and BI tools such as Tableau, Looker, or Power BI
- Proven experience designing and maintaining enterprise-scale data models and ETL or ELT pipelines
- Proficiency with cloud platforms including Google BigQuery, AWS Redshift, or Snowflake in production environments
- Experience partnering with product, finance, or operations stakeholders to translate business questions into analytical solutions
- Strong Python or R scripting skills for data transformation, automation, and exploratory analysis
Senior Business Intelligence Engineer Jobs in California: Frequently Asked Questions
How do you become a senior business intelligence engineer in California?
There is no state-issued license or registration required to work as a senior business intelligence engineer in California. The most common path is a bachelor's degree in computer science, information systems, or a quantitative field, followed by several years of progressively complex BI or data engineering work. California employers at the senior level typically expect demonstrated experience with cloud data platforms, a portfolio of production dashboards or pipelines, and vendor certifications from Google, AWS, or Databricks.
How much do senior business intelligence engineers make in California?
Senior business intelligence 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 senior business intelligence engineers in California?
Employers hiring senior business intelligence engineers in California right now include Sutter Health, Adobe, and Snap, based on current listings on Migrate Mate as of October 2026. California's concentration of technology headquarters, large health systems, and major financial institutions means senior BI engineering roles appear across a wide range of industries rather than clustering in a single sector.
Which California cities have the most senior business intelligence engineer jobs?
Los Angeles, Sacramento, and San Jose account for the largest share of senior business intelligence engineer openings in California. The Bay Area leads because of its density of technology and fintech headquarters, while Los Angeles draws demand from entertainment, media, and e-commerce companies, and San Diego's strong biotech and defense sectors generate consistent openings in data and analytics functions.
Are there remote senior business intelligence engineer jobs in California?
Yes, and more than most fields. Senior business intelligence engineering is a desk-based, analytical discipline that translates well to remote work. About 65% of senior business intelligence engineer openings tied to California are remote or hybrid as of October 2026. The work most commonly done fully remote includes dashboard development, data modeling, and pipeline maintenance, while stakeholder-facing strategy and cross-functional alignment roles tend to favor hybrid arrangements.
How can I get hired as a senior business intelligence engineer in California with little or no experience?
The most realistic entry path is through a junior data analyst or business analyst role at a California technology company, large retailer, or health system, then building toward BI engineering responsibilities over time. Companies like Salesforce, Disney, and Kaiser Permanente run rotational analytics or associate data programs that accept candidates with strong SQL fundamentals and a degree in a quantitative field. Building a public portfolio of Looker or Tableau dashboards using open datasets and earning a Google Data Analytics or Databricks Associate certification can meaningfully improve competitiveness.
Where can I find and apply to senior business intelligence engineer jobs in California?
You can find and apply to senior business intelligence engineer jobs in California on Migrate Mate, which lists current California openings. Find the roles that fit your experience and apply directly.
See All 108+ Senior Business Intelligence Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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