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Analytics Engineer Jobs in California (NOW HIRING)

Earnest

Analytics Engineer II

San Francisco, CA · On-site +1

$112K - $150K/yr

The Analytics Engineer will report to the Senior Manager, Data Platforms & Analytics Engineering. As the Analytics Engineer II, you will: * Build and improve data models that enable faster, more ...

True Classic

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

The role involves building and maintaining data pipelines, supporting analytics engineering functions, and collaborating with cross-functional teams to ensure data-driven decision-making across the ...

Crexi

Analytics Engineer

Los Angeles, CA

$123K - $160K/yr

The Analytics Engineer owns the data models, KPI definitions, and trusted datasets that power decisions across the company. This role sits on the Internal Data Products team and is responsible for ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform infrastructure and serve as a key builder connecting their data warehouse to various teams. The role ...

Metropolis

Senior Analytics Engineer

Los Angeles, CA

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Metropolis

Senior Analytics Engineer

Los Angeles, CA · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

Metropolis

Senior Analytics Engineer

Los Angeles, CA

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

True Classic

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Astera Labs

Data Analytics Engineer

San Jose, CA · On-site

$160K - $195K/yr

Position Summary We are seeking a Data Analytics Engineer with hands-on semiconductor test development experience to join our team. The ideal candidate will bridge the gap between test engineering ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Astera Labs

Data Analytics Engineer

San Jose, CA · On-site

$134K - $161K/yr

They are seeking a Data Analytics Engineer to analyze semiconductor test data, develop predictive models, and enhance quality improvement initiatives by bridging test engineering and data science.

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Showing results 1-20

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in California

Analytics Engineer information

See California salary details

$61.2K

$106.9K

$174.3K

How much do analytics engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for analytics engineer in California is $106,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,807.00 and $119,955.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analytics Engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in California? The most popular types of Analytics Engineer jobs in California are:
What are popular job titles related to Analytics Engineer jobs in California? For Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in California look for? The top searched job categories for Analytics Engineer jobs in California are:
What cities in California are hiring for Analytics Engineer jobs? Cities in California with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Senior Analytics Engineer

Senior Analytics Engineer

Anduril Industries

Costa Mesa, CA • On-site

$166K - $220K/yr

Full-time

Posted 20 days ago

Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril operates. From those entities we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how Anduril functions and model our data to create the digital twin of our operations. The Analytics space is engrained in our team's DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and Anduril's mission speaks to you, you've found the right place.
ABOUT THE JOB
We're looking for people who love ontologies - defining domains and writing the code that puts those models into action. Ideally you are passionate about the next generation of defense technology and love building efficient and understandable data models. You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards.
WHAT YOU'LL DO
  • Lead the building of Anduril's ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
  • Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
  • Seek out problems that can be solved with data and proactively work with the organization to make it a reality
  • Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
  • Lead the design and roadmap for our data platform
  • Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
  • Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business
  • Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale.
  • We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines.
  • For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure.
  • We've implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries.
  • We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster.

REQUIRED QUALIFICATIONS
  • 5+ years of experience in an analytics focused role - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
  • Demonstrated experience with autonomy and process ownership
  • Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
  • Expert with SQL and experience with Python or other programming languages
  • Ability to build world-class data models in a fast, start-up environment
  • Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
  • Eligible to obtain and maintain an active U.S. Secret security clearance

US Salary Range
$166,000-$220,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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