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Senior Analytics Engineer Jobs in San Ramon, CA (NOW HIRING)

Senior Analytics Engineer

San Mateo, CA ยท Remote

$105K - $125K/yr

About the job As a pivotal member of our Business Operations Team, the Senior Analytics Engineer will own and scale our reporting infrastructure across Redshift, dbt, and Tableau. You'll transform ...

As a Senior Analytics Engineer , you will be a key architect of Robinhood's data foundation. You'll be responsible for the design and development of high-performance ETL pipelines, data models, and ...

New

Design reporting systems that support financial and operational audit requirements Qualifications * 5+ years of experience in analytics engineering, data engineering, or senior-level data analysis at ...

As a Senior Analytics Engineer , you will be a key architect of Robinhood's data foundation. You'll be responsible for the design and development of high-performance ETL pipelines, data models, and ...

Senior Analytics Engineer

San Francisco, CA ยท On-site

$123.10K - $169.10K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and ...

Senior Analytics Engineer

San Francisco, CA

$123.10K - $169.10K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and ...

Senior Analytics Engineer

San Francisco, CA ยท On-site

$123.10K - $169.10K/yr

They are seeking a Senior Analytics Engineer to own and architect their data foundation, ensuring reliable and efficient data access for all teams while integrating AI tools into workflows.

Senior Analytics Engineer

San Francisco, CA ยท On-site +1

$100K - $200K/yr

Design reporting systems that support financial and operational audit requirements Qualifications * 5+ years of experience in analytics engineering, data engineering, or senior-level data analysis at ...

Sr. Analytics Engineer

Fremont, CA ยท On-site

$114.70K - $157.60K/yr

Tesla is seeking a skilled and collaborative Analytics Engineer to join their team. In this role, you will lead the development of data pipelines, data warehousing, and reporting infrastructure to ...

You will lead the path in using AI to boost productivity and transform how analytical engineering operates-leveraging AI to streamline data pipeline development and operations, improve GTM data ...

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Showing results 1-20

Senior Analytics Engineer information

See San Ramon, CA salary details

$66.5K

$141.4K

$205.1K

How much do senior analytics engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for senior analytics engineer in San Ramon, CA is $141,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $160,400.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Senior Analytics Engineer jobs in San Ramon, CA? For Senior Analytics Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in San Ramon, CA look for? The top searched job categories for Senior Analytics Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Senior Analytics Engineer jobs? Cities near San Ramon, CA with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer

Senior Analytics Engineer

Vynca

San Mateo, CA โ€ข Remote

$105K - $125K/yr

Full-time

Posted 17 days ago


Job description

Join the dynamic journey at Vynca, where we're passionate about transforming care for individuals with complex needs.
Weโ€™re more than just a team; we're a close-knit community. Our shared commitment to caring for each other and those we serve is what sets us apart. Guided by our unwavering core values: Excellence, Compassion, Curiosity, and Integrity, we forge paths of success together. Join us in this transformative movement where you can contribute to making a profound difference every day.
At Vynca, our mission is to provide comprehensive care for more quality days at home.

About the job


As a pivotal member of our Business Operations Team, the Senior Analytics Engineer will own and scale our reporting infrastructure across Redshift, dbt, and Tableau. You'll transform raw data into reliable, well-modeled datasets and deliver actionable insights that support leadership and operational decision-making across the organization. Your role will be instrumental in building a trusted, scalable, and high-performing reporting ecosystem by developing data models, optimizing reporting performance, and improving how data is accessed and utilized company-wide. This role is ideal for a highly skilled SQL expert who thrives at the intersection of data engineering and analytics and enjoys solving complex data challenges in a fast-paced, collaborative environment.
Join our dynamic team in a remote capacity, but please note, our core operating hours align with Pacific Standard Time (PST).

This is a critical role and we're looking to fill it as soon as possible.
What youโ€™ll do

  • Develop and maintain scalable data models using dbt within a Redshift environment.

  • Write complex, high-performance SQL queries to transform, analyze, and validate large datasets.

  • Own and optimize the Tableau reporting layer, including dashboard development, data source management, and performance tuning.

  • Partner cross-functionally with business stakeholders to translate ambiguous business questions into actionable data solutions.

  • Build reusable, well-documented datasets and reporting assets that support scalable self-service analytics.

  • Monitor and improve data quality, integrity, and consistency across multiple data sources.

  • Optimize Redshift query performance and support cost-efficient data operations.

  • Deliver both recurring operational reporting and high-priority ad hoc analyses to support business decision-making.

Your experience and qualifications

  • Experience: Two to five (2โ€“5) years in roles such as Senior Analytics Engineer, Data Analyst, Business Intelligence Analyst, Analytics Engineer, or similar data-focused roles, preferably within healthcare and/or venture-backed startup environments.

  • Education: Bachelorโ€™s degree in Computer Science, Data Science, Statistics, Economics, Finance, Business Administration, Healthcare Administration, Health Informatics, or a related field.

  • 2โ€“5+ years of advanced SQL experience required.

  • Hands-on experience with dbt, including data modeling, testing, and documentation.

  • Strong experience working with Amazon Redshift or similar columnar data warehouse technologies.

  • Proven track record building, scaling, and optimizing Tableau dashboards and data sources.

  • Deep understanding of data modeling concepts, including star schemas and fact/dimension tables.

  • Ability to work with complex, messy, or incomplete datasets and transform them into structured, reliable reporting solutions.

  • Strong analytical and problem-solving skills with the ability to translate business needs into scalable data solutions.

  • Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

  • High level of ownership and accountability with a proactive approach to identifying and solving problems.

  • Strong attention to detail with a focus on data quality, accuracy, and consistency.

Preferred

  • Experience working with healthcare, value-based care, or claims/clinical datasets.

  • Familiarity with ELT workflows and data orchestration tools.

  • Experience using Python for data analysis, automation, or data engineering tasks.

At this time we are only considering applicants in the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Nevada, North Carolina, Oregon, Texas, Utah and Washington.

Additional Information

  • The hiring process for this role may consist of applying, followed by a phone screen, online assessment(s), interview(s), an offer, and background/reference checks.

  • Background Screening: A background check, which may include a drug test or other health screenings depending on the role, will be required prior to employment.

  • Job Description Scope: This job description is not exhaustive and may include additional activities, duties, and responsibilities not listed herein.

  • Vaccination Requirement: Employees in patient, client, or customer-facing roles must be vaccinated against influenza. Requests for religious or medical accommodations will be considered but may not always be approved.

  • Employment Eligibility: Compliance with federal law requires identity and work eligibility verification using E-Verify upon hire.

  • Equal Opportunity Employer: At Vynca Inc., we embrace diversity and are committed to fostering an inclusive workplace. We value all applicants regardless of race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other protected group under federal, state, or local law.

Compensation Range: $105K - $125K