1

Senior Data Analytics Engineer Jobs in San Ramon, CA

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Senior Analytics Engineer

San Francisco, CA

$123K - $169K/yr

The Role Pilot is hiring a Senior Analytics Engineer to own our data foundation: the warehouse, the semantic layer, and the ingestion that every team at Pilot runs on. Pilot launched in 2017 to bring ...

Senior Analytics Engineer

San Francisco, CA ยท On-site

$123K - $169K/yr

The Role Pilot is hiring a Senior Analytics Engineer to own our data foundation: the warehouse, the semantic layer, and the ingestion that every team at Pilot runs on. Pilot launched in 2017 to bring ...

Senior Data Engineer

Sunnyvale, CA ยท On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone ... Build and optimize data models and architecture to support analytics and reporting needs. * Monitor ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Senior Data Engineer

Sunnyvale, CA ยท On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python ... Build and optimize data models and architecture to support analytics and reporting needs. * Monitor ...

Sr. Data Engineer

San Francisco, CA ยท Hybrid

$146K - $235K/yr

As a member of the Global Data Analytics (GDA) Team, the Data Engineer leverages a variety of ... This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics.

Senior Data Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

Senior Data Engineer Overview Tilia is hiring a Senior Data Engineer to transform raw platform ... Success means reliable, accurate pipelines that finance, compliance, and analysts can trust, and ...

Senior Analytics Engineer

San Francisco, CA ยท On-site

$123K - $169K/yr

They are seeking a Senior Analytics Engineer to own their data foundation, architecting the warehouse and semantic layer, and ensuring reliable data processes for AI integration. Responsibilities ...

Senior Analytics Engineer

San Francisco, CA ยท On-site

$123K - $169K/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 Data Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

Success means reliable, accurate pipelines that finance, compliance, and analysts can trust, and ... The Role As a Senior Data Engineer, you'll spend most of your time building and operating ETL while ...

Discord is looking for an experienced and passionate Senior Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested ...

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Company Description Motocol is recruiting for our client Our client is seeking a senior software ... Provide guidance and mentor developers in the data analytics team Required Experience: 10+ years ...

next page

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 20, 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:

Data Analytics Developer

Samsung

San Jose, CA โ€ข On-site

Full-time

Posted yesterday


Job description

Company Description
We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack. The candidate is expected to be a self-learner as it relates to new big data analytics technologies
Job Description
โ€ข Must have extensive experience and excellent expertise in Java based server-side high-performance, highly-available applications development;
โ€ข Practical design, development and deployment experience with evolving existing designs towards large scale service architecture;
โ€ข Excellent object-oriented analysis and design skills and using proven architectural patterns;
โ€ข Must have practical experience with distributed computing frameworks;
โ€ข Experience with serialization frameworks such as Avro and Protocol Buffers;
โ€ข Experience developing systems following the REST architectural style;
โ€ข Knowledge of relation database concepts and SQL;
โ€ข Practical experience with unit testing (e.g., JUnit) and mocking (e.g., Mockito) frameworks;
โ€ข Practical experience with build frameworks such as Maven and sbt;
โ€ข Practical experience with the Scala programming language (desirable);
โ€ข Practical experience with Hadoop, Spark, Akka (desirable);
Qualifications
โ€ข B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.
Additional Information
All your information will be kept confidential according to EEO guidelines.