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.
Find Data Analytics Engineer JobsOverview
Showing 5 of 3,684+ Data Analytics Engineer jobs











INTRODUCTION
Gaming is a massive and rapidly growing part of the Apple ecosystem, bringing joy to hundreds of millions of players across all Apple devices. The Apple Games App is at the forefront of this experience, designed to connect players with incredible games, foster communities, and empower developers to build the next generation of interactive entertainment. We believe we are just getting started in redefining the gaming landscape.
We are seeking a software data engineer to join the Apple Games App Data Engineering team. In this role, you will help deliver an unparalleled gaming experience and improve the platform every day for both players and game developers by generating insights from data in a privacy-friendly manner. We enable data-driven innovation by building solutions, services, and analytical workloads for a variety of internal collaborators and external gaming partners. In a world where gaming has become a central pillar of digital entertainment, the Apple Games team is essential to Apple's business.
DESCRIPTION
As a member of the Apple Games App Data Engineering team, you will have significant responsibility and influence in shaping its strategic direction. This is a software engineering position. We write robust code, not just ad-hoc scripts. Our software processes dozens of terabytes of gaming and player engagement data on a daily basis. Our jobs and applications must be efficient, scalable, and stable.
Although we write software, data is our main product and first-class citizen. We care about accurate and qualitative data as much as we care about fine, clean, and manageable code. The data we produce powers Apple leadership and our game developer partners with insights about player behavior, new innovations, and the next big things in gaming. You will play a key role in developing analytics solutions tailored specifically for game developers, leveraging your knowledge of the third-party gaming analytics ecosystem to help build best-in-class tools.
To succeed here you will need to be a proponent of building world-class analytical solutions. To be a part of the team means we will want your ideas, concerns, and opinions in our discussions. We are highly collaborative. You will collaborate closely with engineering, product, and partner organizations. Privacy is a foundational engineering requirement in everything we build, and our solutions are designed to comply with Apple's privacy principles from the ground up. Our team is small and focused, where engineers work across a broad range of problems.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Computer Science, Engineering, or equivalent related experience
- Experience building analytics and data solutions specifically for game developers.
- Familiarity with third-party analytics tools and platforms used in the gaming industry.
- 5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
- 5+ years of programming experience in Scala (preferred) or Java.
- Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
- Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.
PREFERRED QUALIFICATIONS
- Good understanding of software engineering principles and fundamentals including algorithms and data structures.
- Self-directed, self-motivated, and ability to create architecture and design documents.
- Ability to capture cross-functional requirements and translate them into practical engineering tasks.
- Excellent communication skills and proven ability to work in a cross-functional environment.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See All 3,684+ Data Analytics Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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
- Apple335

- NVIDIA179

- TikTok159

- ByteDance102

- Amazon95

Top Industries Hiring
- Technology & Software1,778
- Electronics & Hardware559
- Artificial Intelligence228
- Science & Research207
- Banking & Financial Services165
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 Apple, NVIDIA, and TikTok, based on current listings on Migrate Mate as of June 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, San Jose, and Santa Clara 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 22% of data analytics engineer openings tied to California are remote or hybrid as of June 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 3,684+ Data Analytics Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs