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Analytics Engineer Jobs in California (NOW HIRING)

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 ...

Pave

Analytics Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Experience - 4+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity. Proficiency with dbt and airflow, and familiarity with cloud data warehouses.

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 ...

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 ...

Heluna Health

Data/Analytics Engineer

Los Angeles, CA · On-site

$10K/mo

This role sits at the intersection of data engineering and advanced analytics, responsible for the end-to-end design, implementation, and management of a governed Medallion Architecture (Bronze ...

Everpure

Senior Analytics Engineer, GTM

Santa Clara, CA · On-site

$122K - $168K/yr

As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations, improving quality and engineering ...

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 ...

Heluna Health

Data/Analytics Engineer

Los Angeles, CA · On-site

This role sits at the intersection of data engineering and advanced analytics, responsible for the end-to-end design, implementation, and management of a governed Medallion Architecture (Bronze ...

Arena Club

Senior Analytics Engineer

Los Angeles, CA · On-site +1

$130K - $165K/yr

Qualifications * 5+ years' experience in analytics engineering, data engineering, or a related data role with direct experience building on a modern data stack * Bachelor's degree (ideally in a ...

Arena Club

Senior Analytics Engineer

Los Angeles, CA · On-site

$130K - $165K/yr

Qualifications * 5+ years' experience in analytics engineering, data engineering, or a related data role with direct experience building on a modern data stack * Bachelor's degree (ideally in a ...

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 ...

Arena Club

Senior Analytics Engineer

Los Angeles, CA · On-site +1

Qualifications * 5+ years' experience in analytics engineering, data engineering, or a related data role with direct experience building on a modern data stack * Bachelor's degree (ideally in a ...

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

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Showing results 41-60

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 Aug 6, 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 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 analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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
Infographic showing various Analytics Engineer job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $106,868 per year, or $51.4 per hour.

Senior Analytics Engineer

Redwood Materials

San Francisco, CA

Other

Posted 20 days ago

Redwood Materials rating

7.6

Company rating: 7.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

22nd of 89 rated recycling and waste

Job description

About Redwood Materials

Redwood Materials is building a circular supply chain for batteries. Founded in 2017, we recover, reuse, and recycle end-of-life batteries and manufacturing scrap, and use the recovered materials to produce battery components domestically and power energy storage installations. Our goal is to reduce the cost and environmental footprint of batteries by keeping critical minerals in circulation.

About the Role

Our central data and analytics team builds and operates the data pipelines that power reporting, analytics, and automation across Redwood. This is a hands-on engineering role: the majority of our work is code-based data pipelining and automated data analyses. You will spend most of your time on code-based analysis and building and maintaining production pipelines rather than working in a BI tool.

You will work directly with stakeholders in finance, supply chain, and operations to understand what they need, scope technical solutions, and deliver reliable, automated data products. We are looking for someone who can translate a business conversation into a well-engineered pipeline and stand behind it in production.

What You'll Do

  • Build, deploy, and maintain production-grade automated data pipelines using Python and SQL.
  • Perform one-off and automated data-driven analyses using financial and supply chain models and calculations.
  • Scope technical pipeline and automation solutions based on conversations with users and an understanding of the underlying business value drivers.
  • Develop and orchestrate pipelines using tools such as Dagster or Airflow, and manage transformations with dbt.
  • Apply CI/CD and sound software engineering practices (version control, testing, code review) to data workflows.
  • Deploy and run pipelines on cloud infrastructure, and help maintain the reliability of what we ship.
  • Partner with finance, supply chain, and operations stakeholders to deliver the metrics, datasets, and automations they rely on.
  • Own delivery of your work end to end, including scoping, prioritization, and follow-through.

What We're Looking For

  • 3+ years building, deploying, and maintaining production data pipelines.
  • Minimum bachelor's degree in quantitative or technical field such as Data Engineering, Computer Science, Applied Math, etc. Graduate degree preferred.
  • Domain expertise in financial metrics or in supply chain and operations.
  • Strong Python and SQL.
  • Experience with orchestration tools such as Dagster or Airflow, and with dbt.
  • Working knowledge of cloud infrastructure.
  • Familiarity with CI/CD and good coding practices.
  • Ability to scope technical data pipeline solutions and automations from stakeholder conversations and business context.

Nice to Have

  • Experience with AWS.
  • Domain expertise across both financial metrics and supply chain/operations.
  • Project management skills.
  • Experience with Starburst and OpenMetadata.

What Redwood Materials employees say

Pay

Hours and flexibility

Workplace

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