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Senior Analytics Engineer Jobs in California (NOW HIRING)

Fieldguide

Senior Analytics Engineer

San Francisco, CA · On-site

$175K - $200K/yr

We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic layer, the pipelines, and the models that make every number we ship reliable and defensible. This ...

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 ...

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 ...

mpi

Senior Analytics Engineer

Los Angeles, CA · Hybrid

$112K - $154K/yr

MPI is seeking a Senior Analytics Engineer to become a member of our IT department in Studio City. This hybrid role requires an independent contributor who will be responsible for the design ...

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 ...

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 ...

Rocket Lab

Senior Analytics Engineer I

Long Beach, CA · On-site

$114K - $156K/yr

The Senior Analytics Engineer I will drive strategic initiatives with measurable business impact, architect scalable data solutions, and mentor team members while delivering enterprise-level ...

Redwood Materials

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

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 ...

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 ...

Rula

Sr. Analytics Engineer (Remote)

Los Angeles, CA · Remote

$112K - $154K/yr

About the Role We are hiring a Senior Analytics Engineer to join our unified, high-velocity Analytics Engineering pod. In this role you will partner with a talented team of engineers to co-own, scale ...

3M HEALTHCARE

Analytics Engineer

San Francisco, CA · On-site

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 ...

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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

Fieldguide

San Francisco, CA • On-site

$175K - $200K/yr

Full-time

Life, Retirement, PTO

Re-posted 5 days ago

Job description

About Us
Fieldguide is establishing a new state of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, specifically in cybersecurity, privacy, and financial audits. Put simply, we build software for the people who enable trust between businesses.
We're based in San Francisco, CA and we're backed by top investors, including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
We value diversity-in backgrounds and experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide's team is inclusive, driven, humble, and supportive. We are deliberate and self-reflective about the kind of team and culture we are building, seeking teammates who are not only strong in their own aptitudes, but who also care deeply about supporting each other's growth.
As an early-stage startup employee, you'll have the opportunity to help build the future of business trust. We make audit practitioners' lives easier by consolidating up to 50% of their work and improving work-life balance. If you share our values and enthusiasm for building a great culture and product, you'll find a home at Fieldguide.
About the Role
The Data Science team at Fieldguide builds Fieldguide Insights, a product that delivers new-to-the-industry visibility into audit and advisory execution and performance. We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic layer, the pipelines, and the models that make every number we ship reliable and defensible.
This is a role for a technical, broad engineer who specializes in analytics. You will define the canonical tables, columns, and metrics behind our customer-facing reports, move production logic into governed dbt, and harden pipelines. Your work is the base that our API and MCP-based analytics expose, so correctness is non-negotiable.
You will partner closely with Product, Engineering, App Platform, and Infrastructure. This role is ideal for a polymath who wants to model the business in tables that hold up over time and shape how audit and advisory firms consume analytics.
What You'll Do
  • Design and own the Insights semantic layer, establishing canonical definitions for the tables, columns, and metrics behind each report so the numbers we ship are trusted and consistent across the business.
  • Standardize how we define core metrics, reconcile them across data sources such as Amplitude, and clearly document any variances.
  • Migrate production report logic into governed, tested, and portable dbt models, strengthening test coverage and reusable macros along the way.
  • Improve the reliability of business-critical pipelines through proactive monitoring, alerting, and resilience to upstream schema changes.
  • Partner with customers and internal teams on data quality and new environment launches, including triage, onboarding, and data handling requirements.
  • Contribute to the design of a Kimball-style dimensional warehouse built to serve both traditional BI and emerging LLM and MCP-based analytics.
  • Help drive the migration of BI reporting onto the semantic layer, from report inventory and classification through cutover planning.
Who You Are
  • 4+ years in a modern data stack, with advanced SQL and deep hands-on dbt expertise across modeling, testing, and project structure.
  • An engineer at heart: you ship production-quality Python, work fluently with version control and CI, and are comfortable diagnosing pipeline failures end to end.
  • A skilled dimensional modeler (Kimball, slowly changing dimensions) who designs data models built to last as the business evolves.
  • Analytically fluent, with a strong sense for data quality and the judgment to validate that results are correct, not just computed.
  • Deep experience with BigQuery and cloud data warehousing, including cost and performance optimization.
  • A collaborative partner who thrives working across teams, coordinating with Infrastructure and App Platform teams to deliver shared outcomes.
  • Based in SF and energized by in-person collaboration with our team.
Bonus Points
  • A generalist background, with prior time as a data engineer, software engineer, or data scientist on top of the analytics-engineering core.
  • Experience feeding LLM or AI-native data interfaces (semantic layer, MCP, text-to-SQL guardrails).
  • BI migration experience (Looker, Omni, Tableau).
  • A regulated-domain background where correctness is non-negotiable.
More About Fieldguide
Fieldguide is a values-based company. Our values are:
  • Fearless - Inspire and break down seemingly impossible walls
  • Fast - Launch fast with excellence; iterate to perfection
  • Lovable - Deliver happiness and 11-star experiences
  • Owners - Execute and run the business with ownership
  • Win-win - Create mutual value and earn trust for life
  • Inclusive - Scale the best ideas with inclusive teams
Some of our benefits include:
  • Competitive compensation packages with meaningful ownership
  • Flexible PTO
  • 401(k)
  • Wellness benefits starting on your first day
  • Technology and work-from-home reimbursement
  • Flexible work schedules

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