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Senior Data Analytics Engineer Jobs in San Ramon, CA

Senior Data Analytics Engineer

Menlo Park, CA · On-site

$230K - $258.75K/yr

We are hiring a Senior Data Analytics Engineer for our Data Analytics and AI team. We own Snowflake's internal data platform, powering analytics across Finance, Sales, and HR, and we're looking for ...

Senior Data Analytics Engineer

San Francisco, CA · On-site

$124.90K - $169.70K/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

Pleasanton, CA · On-site

$126.50K - $151.90K/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 ...

Sr. Data Analyst / Engineer

Sunnyvale, CA · On-site

$100.90K - $127.30K/yr

Job Title: Sr. Data Analyst / Engineer Location: Sunnyvale, CA (Onsite) Duration: Contract Note- EX Apple company experience Key Requirements: • Strong experience with reporting tools • Hands-on ...

Senior Data Engineer & Architect

San Jose, CA · On-site

$78.75 - $105.50/hr

Senior Manager, Data & Analytics Platform Engineering About the Role The Adobe Experience Platform (AEP) Product Success Engineering team is hiring a Senior Data Engineer & Architect to help build ...

Senior Analytics Engineer

San Mateo, CA · Remote

$105K - $125K/yr

You'll transform raw data into reliable, well-modeled datasets and deliver actionable insights that ... Two to five (2-5) years in roles such as Senior Analytics Engineer, Data Analyst, Business ...

Sr. Data Engineer

San Francisco, CA · On-site

$124.90K - $169.70K/yr

We are seeking a Senior Data Engineer to support data analytics and platform initiatives. This role is ideal for a hands-on consultant who can build scalable data pipelines and enable analytics ...

Sr. Data Engineer

San Francisco, CA

$124.90K - $169.70K/yr

We are seeking a Senior Data Engineer to support data analytics and platform initiatives. This role is ideal for a hands-on consultant who can build scalable data pipelines and enable analytics ...

That scale generates a lot of data: search quality signals, API usage logs, click behavior, billing ... analytics engineering, data engineering, or senior-level data analysis at a fast-growing company

Senior Data Scientist

San Francisco, CA · On-site

$127.50K - $172.50K/yr

The Senior Data Scientist will support Tendo analytics projects focused on quality management and ... engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data ...

Sr. Data Engineer

San Francisco, CA · On-site

$124.90K - $169.70K/yr

PHIZENIX is seeking a Senior Data Engineer to support data analytics and platform initiatives. This role involves building scalable data pipelines and enabling analytics platforms across the ...

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 ...

About the Role As a Senior Analytics Engineer, you will be responsible for developing and ... Data Transformation: Design and maintain transformations that ensure accurate, scalable, and high ...

New

We operate at the intersection of data engineering, data science, and product strategy ... As a Senior Analytics Engineer , you will be a key architect of Robinhood's data foundation. You'll ...

Senior Data Engineer

San Francisco, CA · On-site

$124.90K - $169.70K/yr

As a Senior Data Engineer, you will own the tooling, frameworks, data pipelines, and databases to ensure data integrity and support operational decision-making through analytics and reporting.

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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 May 31, 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 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.

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 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.

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:
Infographic showing various Senior Data Analytics Engineer job openings in San Ramon, CA as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $141,174 per year, or $67.9 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

Snowflake

Menlo Park, CA • On-site

$230K - $258.75K/yr

Full-time

Posted 14 days ago


Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Data Analytics Engineer for our Data Analytics and AI team. We own Snowflake's internal data platform, powering analytics across Finance, Sales, and HR, and we're looking for someone to help shape what's possible for the teams who rely on it every day.
Location: Menlo Park, CA | Team: Data Analytics and AI | Business Unit: Enterprise Technology
In this role you will
  • Shape the architecture and design principles for Snowflake's internal data platform, owning decisions that affect how data flows, is governed, and accessed across Finance, Sales, HR, and other business-critical functions
  • Lead cross-functional data initiatives from problem framing through delivery, aligning stakeholders across Engineering, Analytics, and Business Systems on what to build and why
  • Define and enforce RBAC frameworks, row access policies, and masking policies at scale, ensuring the right data reaches the right people with appropriate governance controls
  • Drive adoption of AI-assisted data workflows by integrating LLM-powered tools, Cortex Agents, and automation capabilities into the team's data engineering practice
  • Set the technical standard for dbt at scale, defining modeling conventions, testing frameworks, and CI/CD practices adopted by the full data team
  • Influence without authority across teams by writing architecture docs, technical specs, and stakeholder-facing materials that drive alignment and accelerate delivery
  • Identify and resolve systemic data quality, performance, and reliability issues, raising the bar for what "done" looks like on the platform
What you will need
  • 8+ years of experience in analytics engineering, data architecture, or related roles, or equivalent experience
  • Deep expertise in Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader feature set (Cortex, Dynamic Tables, Streams, Tasks)
  • Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
  • Strong proficiency with AI development tools, including LLM-powered workflows, agent frameworks (Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases
  • Experience designing and implementing RBAC frameworks at scale, including row access policies, masking policies, and role hierarchies in Snowflake or similar platforms
  • Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture documents, and stakeholder-facing materials
  • Demonstrated ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and delivering outcomes across multiple teams
Preferred skills:
  • Experience working at a technology company with a large-scale internal data platform
  • Familiarity with Python for data pipeline development, scripting, and automation
  • Experience presenting technical content to external audiences (customers, conferences)
  • Experience with Snowflake Cortex AI or GenAI-native data tooling in production environments
WHY join our Data Analytics and AI team at Snowflake
We are the team that owns Snowflake's internal data platform, powering analytics across Finance, Sales, and HR. We're a tight-knit team who move fast and value craftsmanship over process.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: https://careers.snowflake.com/us/en
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com