ZipRecruiter

Log In

1

Senior Analytics Engineer Jobs in California (NOW HIRING)

Plaid Inc

Senior Analytics Engineer

San Francisco, CA · On-site

$157K - $214K/yr

As a Senior Analytics Engineer, you'll also act as an applied data science partner. In addition to core analytics engineering, you'll work on predictive modeling, experimentation, lifetime value (LTV ...

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 ...

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 · 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 ...

Everpure

Senior Analytics Engineer, GTM

Santa Clara, CA · On-site

Everpure is fundamentally reshaping the data storage industry and is seeking a Senior Analytics Engineer to drive modernization initiatives. In this role, you will lead efforts in building scalable ...

Zipline

Senior Analytics Engineer

South San Francisco, CA · On-site

$125K - $172K/yr

As a Senior Analytics Engineer, you are the owner of analytics infrastructure and datasets that directly inform operational decisions across the company, ensuring planes launch on time, inventory is ...

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 ...

Zipline

Senior Analytics Engineer

San Francisco, CA

$123K - $169K/yr

As a Senior Analytics Engineer, you are the owner of analytics infrastructure and datasets that directly inform operational decisions across the company, ensuring planes launch on time, inventory is ...

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 ...

next page

Showing results 1-20

All JobsAnalytics Engineer JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in California

Senior Analytics Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

How much do senior analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior analytics engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a senior analytics engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
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 Senior Analytics Engineer jobs in California? For Senior Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in California look for? The top searched job categories for Senior Analytics Engineer jobs in California are:
What cities in California are hiring for Senior Analytics Engineer jobs? Cities in California with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you
Infographic showing various Senior Analytics Engineer job openings in California as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $124,900 per year, or $60 per hour.

Senior Analytics Engineer

3M HEALTHCARE

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Gong is seeking a Senior Analyst, Analytics engineering to empower our analytics community by building, maintaining, and governing a data warehouse of operational and financial data. You'll partner with Data Ops to develop a semantic layer and AI-driven self-service analytics, designing data models in Snowflake with dbt, and ensuring data quality through a testing/alerting framework. Based near SF/NYC/Chicago/Salt Lake City, you'll contribute to scalable data pipelines and governance. #J-18808-Ljbffr

Apply