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Senior Data Analytics Engineer Jobs in California

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Partner with the Senior Data Engineer to make sure the source pipelines you depend on are designed ... AI-native analytics engineering * Use Claude Code as your primary working environment, including ...

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 ...

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True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform infrastructure and serve as a key builder connecting their data warehouse to various teams. The role ...

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting ...

PetersonCat

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting ...

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 ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

True Classic

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in California

Senior Data Analytics Engineer information

See California salary details

$79.9K

$124.7K

$172.7K

How much do senior data analytics engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for senior data analytics engineer in California is $124,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $142,100.00 per year, depending on experience, location, and employer.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Senior Data Analytics Engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What are popular job titles related to Senior Data Analytics Engineer jobs in California? For Senior Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in California look for? The top searched job categories for Senior Data Analytics Engineer jobs in California are:
What cities in California are hiring for Senior Data Analytics Engineer jobs? Cities in California with the most Senior Data Analytics Engineer job openings:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in California as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $124,674 per year, or $59.9 per hour.

Senior Data Analytics Engineer

Hyperbolic Labs

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Re-posted 25 days ago

Job description

Who We Are
Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
As we prepare for growth after our Series A, our team - led by co-founders with PhDs in AI, Math, and Computer Science - is poised to redefine computing.
About the Role
We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.
As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.
Who You Are
  • 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership
  • Strong SQL and Python scripting skills for data manipulation and analysis
  • Expert at data debugging and ensuring data correctness with a proactive approach to data health
  • Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)
  • Exceptional attention to detail with consistent review and improvement of data systems
  • Strong communication and collaboration skills with the ability to articulate complex data insights to leadership
  • Experience working with highly technical teams and understanding technical business models
  • Proactive in seeking clarification when needed and comfortable navigating ambiguity
  • Ability to accept direct feedback and continuously improve

Preferred Qualifications
  • Experience in GPU compute infrastructure or cloud computing space
  • Background in AI infrastructure or related technical domains
  • Data engineering skills or familiarity with data pipeline development
  • Experience at high-growth, early stage, technical companies

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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