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Analytics Engineer Jobs in Irvine, CA (NOW HIRING)

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

As a Durability Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers. You ...

Rivian

Durability Analytics Engineer

Irvine, CA

$96K - $120K/yr

As a Durability Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers. You ...

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

As a Durability Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers. You ...

Anduril Industries

Staff Analytics Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

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. As a Staff Engineer, you ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Irvine, CA

Analytics Engineer information

See Irvine, CA salary details

$65.2K

$113.8K

$185.7K

How much do analytics engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for analytics engineer in Irvine, CA is $113,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,004.00 and $127,768.00 per year, depending on experience, location, and employer.

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.

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 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.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Irvine, CA?

The most popular types of Analytics Engineer jobs in Irvine, CA are:

What are popular job titles related to Analytics Engineer jobs in Irvine, CA?

For Analytics Engineer jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Irvine, CA look for?

The top searched job categories for Analytics Engineer jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Analytics Engineer jobs?

Cities near Irvine, CA with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Irvine, CA as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $113,829 per year, or $54.7 per hour.

Senior Analytics Engineer

Anduril Industries

Costa Mesa, CA

Full-time

Re-posted 27 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,423 frontline employees who took The Breakroom Quiz

Job description

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

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

Social media

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