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Senior Data Analytics Engineer Jobs in San Ramon, CA

Senior Data Analytics Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

About the Role We're seeking our first data analytics hire to establish and own the data foundation ... Data engineering skills or familiarity with data pipeline development * Experience at high-growth ...

Data & Analytics Engineer

San Leandro, CA ยท 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 ...

Data & Analytics Engineer

San Leandro, CA ยท 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 ...

Data Analytics Engineer

Pleasanton, CA ยท 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 ...

You will collaborate cross-functionally with Product, Engineering, Risk, and Operations teams to ... Apply advanced analytics and statistical methods to inform policy decisions and mitigate financial ...

Sr Data Analyst - Store Analytics

Dublin, CA ยท On-site +1

$96K - $122K/yr

The Sr Analyst independently leads complex analyses, develops scalable analytical frameworks, partners closely with business leaders and Data Engineering, and helps shape the evolution of the Store ...

Senior Analytics Engineer

San Francisco, CA ยท 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 ...

Senior Analytics Engineer

San Francisco, CA ยท On-site

$158K - $220K/yr

At BetterUp we believe data is critical to our success and this role on the Analytics Engineering ... As a Senior Analytics Engineer, you'll: * Drive functional strategy for AI adoption, identifying ...

Senior Data Analyst

Palo Alto, CA ยท On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... Recommend analytical tools to implement in partnership with developers and the Head of Growth

Senior Data Analyst

Palo Alto, CA ยท On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... Recommend analytical tools to implement in partnership with developers and the Head of Growth

Senior Data Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

Senior Data Engineer - Platform Engineering Location: San Francisco, Los Angeles, or Dallas ... You will collaborate with cross-functional teams to enable operational data analysis, enhance ...

Sr. Data Engineer/Data Analyst

San Jose, CA ยท On-site

$157K - $216K/yr

Description This position is ideal for senior-level data engineering professionals to join the Product Analytics team as a Sr. Data Engineer/Data Analyst. You will drive the design, development, and ...

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Showing results 1-20

Senior Data Analytics Engineer information

See San Ramon, CA salary details

$90.5K

$141.2K

$195.6K

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

As of Jul 16, 2026, the average yearly pay for senior data analytics engineer in San Ramon, CA is $141,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $160,900.00 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 popular job titles related to Senior Data Analytics Engineer jobs in San Ramon, CA? For Senior Data Analytics Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in San Ramon, CA look for? The top searched job categories for Senior Data Analytics Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Senior Data Analytics Engineer jobs? Cities near San Ramon, CA with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer

Hyperbolic Labs

San Francisco, CA โ€ข On-site

$124K - $169K/yr

Full-time

Re-posted 23 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.