Data Analytics Engineer Jobs in California
Data Analytics Engineer jobs in California are among the most active in the country, concentrated in technology, financial services, entertainment, and healthcare, with openings at every level from entry-level associate to principal engineer. The largest hiring metros are San Francisco, Los Angeles, and San Diego, where companies like Google, Salesforce, and Kaiser Permanente maintain deep data engineering teams. The most in-demand specialties are cloud data pipeline development, dbt and SQL-based transformation work, and analytics platform engineering. Find a role that fits below and apply directly.
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The USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Titus Family Department of Clinical Pharmacy, is seeking a Research Lab Technician II to support ongoing studies in immunogenomics, cancer genomics and therapeutics.
We are a translational genomics and experimental therapeutics lab focused on identifying and investigating novel therapeutic targets in acute myeloid leukemia (AML) and developing new therapeutic strategies. We seek a highly motivated, detail-oriented individual to perform molecular, cellular, and in vivo experiments and support the day-to-day operation of the laboratory.
Responsibilities
- Process and run quality control on next-generation sequencing data (e.g., RNA-seq, whole-exome/genome sequencing, ATAC-seq, ChIP-seq, single-cell sequencing) using established pipelines
- Perform downstream analyses, including differential expression, variant calling and annotation, pathway enrichment, and clustering, under the guidance of the Principal Investigator and senior lab members
- Analyze data from high-throughput drug screens, flow cytometry, and preclinical mouse studies; perform basic statistical analyses
- Mine public ‘omics’ resources (e.g., TCGA, BeatAML, GEO, DepMap) to support target discovery and validation
- Maintain, document, and update analysis pipelines and scripts using version control
- Organize and manage lab datasets, sample metadata, and clinical annotations in compliance with IRB and data security requirements
- Run jobs on USC’s high-performance computing cluster and manage data storage
- Prepare figures, tables, and summaries of results for lab meetings, presentations, and manuscripts
Minimum Preferred Qualifications
- Bachelor’s degree in biology, molecular biology, biochemistry, immunology, or a related field
- Hands-on laboratory experience with routine molecular biology and cell culture techniques
- Excellent organizational, record-keeping, and communication skills
- Ability to work both independently and as part of a team
Preferred Qualifications
- Master’s degree or 1–2 years of research laboratory experience
- Experience with flow cytometry, NGS sample preparation, or high-throughput assays
- Experience with mouse handling and in vivo studies
- Familiarity with basic data analysis tools (e.g., R, Python, GraphPad Prism) or interest in learning bioinformatics
- Background in cancer biology or hematologic malignancies
Applicants should attach the following:
- Cover letter describing research experience and interests
- Résumé or CV
- Names and contact information for two to three references
The hourly rate range for this position is $25.71 - $28.32. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
Minimum Education: Associate's degree, Specialized/technical training, Combined experience/education as substitute for minimum education Minimum Experience: 2 years Minimum Field of Expertise: Working knowledge of laboratory equipment and research protocols. Knowledge of computer analysis techniques and ability to provide routine analysis and interpretation of research data.
See All 155+ Data Analytics Engineer Jobs in California
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Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Data Analytics Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Meta13

- CoStar6

- Kaiser Permanente6

- Intuit4

- Tailored Brands4

Top Industries Hiring
- Technology & Software
- Retail
- Biotechnology & Pharmaceuticals
- Education
- Manufacturing
What California Employers Look For
The qualifications that appear most often in data analytics engineer jobs across California.
- Bachelor's degree in computer science, statistics, mathematics, or a closely related field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with cloud data platforms including BigQuery, Snowflake, or Databricks
- Familiarity with data modeling frameworks and transformation tools such as dbt
- Experience building or maintaining ETL and ELT pipelines in a production environment
- Strong communication skills for presenting data findings to non-technical California business stakeholders
Data Analytics Engineer Jobs in California: Frequently Asked Questions
How do you become a data analytics engineer in California?
California does not require a state-issued license or registration to work as a data analytics engineer. The standard path is a bachelor's degree in computer science, data science, mathematics, or a related field, followed by hands-on experience with SQL, Python, and cloud data platforms. Earning vendor certifications from Google Cloud, Snowflake, or dbt Labs strengthens a candidacy considerably in California's competitive technology market.
How much do data analytics engineers make in California?
Data 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 data analytics engineers in California?
Employers hiring data analytics engineers in California right now include Meta, CoStar, and Kaiser Permanente, based on current listings on Migrate Mate as of November 2026. California's concentration of technology headquarters, health systems, and financial services firms means consistent demand for this role across both established enterprises and growth-stage companies.
Which California cities have the most data analytics engineer jobs?
San Francisco, Los Angeles, and San Diego have the most data analytics engineer openings in California. The San Francisco Bay Area leads because of its density of technology headquarters and venture-backed companies, while Los Angeles reflects demand from entertainment, media, and e-commerce, and San Diego's concentration of biotech and defense firms drives openings there.
Are there remote data analytics engineer jobs in California?
Yes, and more than most fields. About 66% of data analytics engineer openings tied to California are remote or hybrid as of November 2026, reflecting that the work is largely desk-based and deliverable-driven. Pipeline development, data modeling, and analytics tooling work are the most consistently remote, while roles requiring close collaboration with embedded product or engineering teams tend to remain hybrid.
How can I get hired as a data analytics engineer in California with little or no experience?
The most realistic entry path is an associate or junior data engineer role at a mid-size California technology or healthcare company, where scope is more defined and mentorship more accessible. Large California employers such as Kaiser Permanente, Wells Fargo, and Apple run analyst and data associate programs that feed into engineering tracks. Building a public portfolio of dbt models, pipeline scripts, or Snowflake projects and earning a Google Cloud or Snowflake certification gives candidates a concrete edge over applicants without experience.
Where can I find and apply to data analytics engineer jobs in California?
You can find and apply to data analytics engineer jobs in California on Migrate Mate, which lists current California openings. Find roles that match your experience and location, then apply directly to the ones that fit.
See All 155+ Data Analytics Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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