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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About The Team
The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.
About The Role
As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators. This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!
You’re Excited About This Opportunity Because You Will…
- Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
- Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
- Lead the development of data products and self-serve tools that enable analytics to scale across the company
- Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
- Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
- Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization
We’re Excited About You Because…
- 3+ years of experience working in business intelligence, analytics engineering, data engineering or a similar role
- Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
- Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
- Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
- Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically, analyze and interpret market and consumer information
- Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.
Nice to Have
- Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
- Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
- Familiarity with experimentation concepts like A/B testing and their data requirements
Compensation
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here.
See Below For Paid Time Off Details
For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
The national base pay range for this position within the United States, including Illinois and Colorado. $117,500—$172,800 USD
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey.
See All 3,688+ Analytics Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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
- Apple335

- NVIDIA179

- TikTok159

- ByteDance102

- Amazon95

Top Industries Hiring
- Technology & Software1,779
- Electronics & Hardware559
- Artificial Intelligence228
- Science & Research208
- Banking & Financial Services165
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 Apple, NVIDIA, and TikTok, based on current listings on Migrate Mate as of June 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 Santa Clara 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 22% of analytics engineer openings tied to California are remote or hybrid as of June 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 3,688+ Analytics Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs