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Senior Data Analytics Engineer Jobs in San Ramon, CA

GSK

Senior Data Platform Engineer

South San Francisco, CA · On-site

$137K - $165K/yr

Providing best-in-class AI/ML and data analysis environments to accelerate our predictive ... A Sr Data Platform Engineer is a technical individual contributor, building modern, cloud-native ...

NAVA Software Solutions

Sr. Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

NAVA Software solutions is looking for a Sr. Data Analyst Details: Sr. Data Analyst Location: 100% Remote - Must work in PST. Duration: 12 months Mandatory Skills/Experience: * Proficiency with SQL

The Walt Disney Company

Sr Data Engineer

San Francisco, CA · On-site

$155K - $208K/yr

The Senior Data Engineer will contribute to the Company's success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber ...

Rippling

Senior Data Analyst - Payments

San Francisco, CA · On-site

$114K - $199K/yr

... Senior Data Analyst - Payments to join our rapidly expanding team. In this pivotal role, you will ... in applying analytics engineering, analysis, modeling, and/or exploratory analysis to large ...

Inizio Partners

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Senior Data Engineer We are seeking a Sr Data Engineer for our Data feeds team to provide batch ... Build data pipelines that transform raw, unstructured data into formats that data analyst can use ...

Super Micro Computer

Sr. Data Analyst

San Jose, CA · On-site

$150K - $190K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking a Sr. Data Analyst to drive business process analysis ...

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

... analytics engineering, and business strategy. You'll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.

Troutman Pepper

Senior Data Engineer

San Francisco, CA · Remote

$124K - $169K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... collaborating with engineering teams to validate and maintain analytics implementations ...

Roku

Senior Data Scientist

San Jose, CA · Hybrid

$179K - $212K/yr

As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations.

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... collaborating with engineering teams to validate and maintain analytics implementations ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can ... collaborating with engineering teams to validate and maintain analytics implementations ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in San Ramon, CA

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 17, 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:
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Senior Data Analytics Engineer jobs near you

Senior Analytics Engineer

Vizcom Technologies, Inc.

San Francisco, CA • On-site

$180K - $208K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

SENIOR ANALYTICS ENGINEER
Location: San Francisco, CA (Hybrid Role)
Who We Are:
At Vizcom, we're reimagining how physical products are designed by fusing AI with human creativity to help designers move from sketch to reality at lightning speed. We're a small, fast-moving team that values initiative, experimentation, and an eye for beauty. As a learning-driven company, we believe good decisions come from good data, and we're building a foundation where both humans and AI can turn that data into smarter ones.
The Role:
As our Senior Analytics Engineer, you'll be the second hire on the data team, working alongside the Head of Data as the primary data partner to Product, Finance, Marketing, and Sales. You'll work across the stack: designing pipelines and semantic models in BigQuery and Omni, then using that foundation to build the dashboards and run the analyses that shape
how we price, prioritize, and grow. This is a role for someone who genuinely enjoys moving between analyst and engineer work, and who wants to help build a data function from the ground up rather than inherit one.
You'll also play a central role in how Vizcom uses AI internally. Our BI stack is built around Claude and Omni, and we need someone who can shape the semantic layer so both humans and AI agents can get reliable, trustworthy answers from it.
How You'll Do It:
  • Partner with Product, Finance, Marketing, and Sales to scope what matters, define metrics, and translate business questions into analyses.
  • Partner with engineering on product instrumentation. Help decide what events we capture and how they're structured to enable robust analysis.
  • Own the analysis end-to-end, from data modeling through dashboards, readouts, and ongoing monitoring.
  • Build and maintain the semantic layer in Omni so both humans and AI agents (Claude) can query the business reliably. Govern metric definitions, resolve discrepancies between sources, and make self-serve the default path.
  • Design and maintain data pipelines in BigQuery to support analytics and reporting, including ETL for new data sources as they come online.
  • Inform architectural decisions on transformation, orchestration, and tooling as the stack matures.
  • Partner with the Head of Data on prioritization, help shape the team's roadmap, and identify opportunities to improve how we work.

What You'll Bring:
  • 5 - 7 years of experience in analytics, analytics engineering, or a hybrid role, with specific examples of dashboards and analyses that drove business decisions.
  • Fluent SQL and hands-on experience with BigQuery or a comparable cloud warehouse.
  • Technically fluent beyond SQL. You're comfortable in a codebase, reason about how systems fit together, and contribute substantively to architectural conversations with engineering. Hands-on experience in a general-purpose language like Python or TypeScript.
  • Semantic modeling experience in Omni, LookML, Cube, MetricFlow, or similar. Omni experience is a strong plus.
  • Solid grounding in database architecture and ETL, with hands-on experience designing pipelines.
  • Experience analyzing product feature launches: defining success metrics, reviewing instrumentation, and calling the results as they are.
  • Strong stakeholder skills. You can gather requirements from non-technical partners, push back thoughtfully when the ask and the real need diverge, and communicate findings clearly in both writing and conversation.
  • You've integrated AI meaningfully into how you work. You can speak specifically to how you use it, where it works, where it doesn't, and how you've developed judgment about when to trust output.
  • Comfortable switching between analyst and engineer modes, and across domains. Product retention one day, finance or marketing performance the next.
  • As a colleague, you enjoy planning, executing, winning and celebrating as a team
  • Experience working remotely and/or in a startup environment

Benefits While Working At Vizcom:
  • 100% employer sponsored medical care for employees, 25% towards dependents
  • Dental, VIsion and Mental Health Care
  • Equity
  • Flexible PTO
  • 401(k) with payroll match
  • Generous annual Learning & Development allowance
  • Paid parental leave
  • Weekly catered lunch at Headquarters

Compensation:
Our compensation is tiered by U.S. location to ensure equity across our remote team. We benchmark at the 75th percentile using industry-standard data sets (Carta, Pave).
The salary range for this role is between $180,000 - 208,000 annually. This role is eligible for equity.
The actual offer, including the compensation package, is determined based on multiple factors, including experience, location, and other business considerations. The overall package described in this post applies to W2, U.S. based employees- final package will be determined by local requirements and employment laws and accessibility.
*Please note, as part of our SOC2 Type 2 compliance, all employees are required to submit to a background check
Join Us and Make an Impact: At Vizcom, we move fast, offer meaningful equity ownership, and provide a compelling growth trajectory for our team members. We believe in the art of industrial design and strive to improve our world through accelerated visionary processes. Join us in shaping a world designed by you.

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