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Analytics Engineer Jobs in California (NOW HIRING)

Netflix

Analytics Engineer 5

Los Angeles, CA · On-site

We are looking for a stunning Senior Analytics Engineer to join the team. In this role, you will partner with product managers, business teams, and other Data Science & Engineering colleagues to ...

DoorDash

Analytics Engineer

San Francisco, CA · On-site

About the Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making ...

G3

Analytics Engineer

Modesto, CA · On-site

Analytics Engineer Posting Start Date: 7/9/26 Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring ...

CANYON BICYCLES USA INC

Analytics Engineer

Carlsbad, CA · On-site

$110K - $120K/yr

POSITION DESCRIPTION Position Title Analytics Engineer Business Unit N/A Number of Facilities 2 sites Location Carlsbad, CA Position Grade P3/11 Direct Reports 0 Travel % 15% Supervisor Title:

CANYON BICYCLES USA INC

Analytics Engineer

Carlsbad, CA · On-site

$110K - $120K/yr

POSITION DESCRIPTION Position Title Analytics Engineer Business Unit N/A Number of Facilities 2 sites Location Carlsbad, CA Position Grade P3/11 Direct Reports 0 Travel % 15% Supervisor Title:

Sutter Health

Analytics Engineer III

Sacramento, CA · On-site

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

Sutter Health

Analytics Engineer III

Sacramento, CA · Hybrid

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$188K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$119K - $188K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

What you'll do As a Senior Analytics Engineer, you will own and extend our demand forecasting platform, modeling satellite bandwidth requirements across Maritime, Aviation, Enterprise, and emerging ...

Abbott

Analytics Engineer

Sylmar, CA · On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Atria Group LLC

Analytics Engineer

Sunnyvale, CA

Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services ...

Abbott

Analytics Engineer

Los Angeles, CA · On-site

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

Abbott

Analytics Engineer

Los Angeles, CA

$81K - $141K/yr

Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering. * Assists in the scoping, planning and delivery of ...

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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 July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $106,868 per year, or $51.4 per hour.

Analytics Engineer 5

Netflix

Los Angeles, CA • On-site

Full-time

Re-posted 5 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

69th of 75 rated media

Job description

The Media Science DSE team delivers metrics & data science that help scale and innovate content media production and management workflows, driving time and cost efficiencies and empowering creative teams to bring their story to life on the screen.

We are looking for a stunning Senior Analytics Engineer to join the team. In this role, you will partner with product managers, business teams, and other Data Science & Engineering colleagues to design metrics, develop analytic tools, and perform analyses that power content media operations at scale. Your analytical insights will help steer global media production strategy, identify innovations that drive scale economies and greater creative storytelling across our diverse content slate, and support the delivery of new content types on Netflix.

As a Senior Analytics Engineer in this space, you will:

  • Be a strategic partner for Content & Business Product PMs and Content Operations teams, developing and executing new measurement frameworks, and identifying analytic opportunities to assess the effectiveness and business impact of product solutions supporting media production workflows

  • Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product leadership 

  • Establish and maintain strong partnerships with a variety of business, product, and data-oriented stakeholders, working directly with them to introduce and influence data-informed ways of working

  • Present your analytical methodology and findings effectively to both technical and non-technical partners

  • Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate data analysis

About you

  • 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders

  • An expert in the standard tech stack (i.e., SQL, Python) and intuitive dashboard/visualization design using common data visualization tools (i.e., Tableau, Plotly, Streamlit)

  • Exceptional communication and collaboration skills coupled with strong business acumen

  • Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process

  • You connect the dots across stakeholder needs and independently drive projects forward

  • A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table

  • You are known for developing and deepening strong relationships with a wide variety of stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data

  • Comfortable taking (smart) risks in your work and thrilled about innovating in the Content Production domain

  • Netflix culture resonates with you

  • Experience designing observational causal inference studies and A/B tests, driving strategic decision-making through its findings is a plus

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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