Data Analytics Engineer Jobs in Los Angeles, CA
Data Analytics Engineer jobs in Los Angeles are in strong demand, concentrated in Silicon Beach, Downtown LA, and Culver City across entertainment technology, e-commerce, and financial services. Employers hiring right now include L.A. Care Health Plan, PwC, and Icann. 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.
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Los Angeles
Who's Hiring
- L.A. Care Health Plan22

- PwC11

- Icann11

- Qvest11

- Ritual11

Top Industries Hiring
- Technology & Software
Data Analytics Engineer Jobs in Los Angeles: Frequently Asked Questions
How do I get a data analytics engineer job in Los Angeles?
Target Los Angeles's densest hiring clusters: entertainment technology companies in Culver City and Playa Vista, e-commerce and retail tech firms in Downtown LA, and financial services employers in Century City and Westwood. Hands-on experience with dbt, Spark, or Snowflake stands out here. Networking through local data meetups and tech events in the Silicon Beach corridor gives candidates a genuine edge over remote applicants.
Which companies hire data analytics engineers in Los Angeles?
Companies currently hiring data analytics engineers in Los Angeles include L.A. Care Health Plan, PwC, and Icann, per current listings on Migrate Mate as of November 2026. Los Angeles draws a broad mix of employers, from streaming and media conglomerates headquartered in the city to fast-growing direct-to-consumer brands and regional financial institutions.
Are there remote data analytics engineer jobs in Los Angeles?
Yes, data analytics engineering is well suited to remote and hybrid arrangements since the work is largely desk-based and collaborative through cloud tools rather than on-site infrastructure. About 83% of data analytics engineer openings tied to Los Angeles are remote or hybrid as of November 2026. Pipeline development, data modeling, and stakeholder reporting are the functions most commonly performed fully remote in the Los Angeles market.
How can I get a data analytics engineer job in Los Angeles with little or no experience?
The most realistic entry path in Los Angeles is moving laterally from a data analyst or BI analyst role at a mid-size e-commerce or media company, then building engineering skills on the job. Smaller startups in Silicon Beach and Culver City frequently hire junior candidates willing to own the full data stack early. A portfolio of dbt models or a public pipeline project on GitHub makes a strong impression with Los Angeles hiring managers even without prior engineering titles.
Which industries hire the most data analytics engineers in Los Angeles?
The sectors hiring the most data analytics engineers in Los Angeles are Technology & Software, based on current listings on Migrate Mate as of November 2026. Los Angeles's unique mix of entertainment giants, direct-to-consumer brands, and a growing fintech corridor means demand for engineers who can handle large-scale behavioral and transactional data is especially concentrated here.
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