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Engineering Data Analytics Lead Jobs in San Ramon, CA

Company Description We are seeking a developer to join the data analytics team with at least 5 ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

We are seeking a developer to join the data analytics team with at least 5 years of software ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Data Analyst IV

San Francisco, CA · On-site

$187K - $220K/yr

Senior Data Systems Architect & Analytics Lead Role Overview We are seeking a Senior Data Systems ... Key Responsibilities Technical Execution & Systems Engineering • Lakehouse Development: Design ...

We are seeking a developer to join the data analytics team with at least 12 years of software ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

We are seeking a developer to join the data analytics team with at least 5 years of software ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

We are seeking a developer to join the data analytics team with at least 12 years of software ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

* Lead the architecture, development, design, and maintenance of complex, interactive, and dynamic ... Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field; a ...

New

Responsibilities We're the TikTok Monetization Products data science team, who enables and ... Collaborate with PM, engineering, sales, strategy team and other roles to deliver research results ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including ...

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including ...

Data Governance Analyst

Oakland, CA · On-site

$93K - $112K/yr

Senior Enterprise Performance & ITSM Analytics Lead Role Overview We are seeking a Senior ... Engineer metrics that account for real-world complexity-such as SLA pauses, assignment transfers ...

Showing results 21-40

Engineering Data Analytics Lead information

See San Ramon, CA salary details

$67.6K

$138.4K

$195.6K

How much do engineering data analytics lead jobs pay per year?

As of Sep 14, 2026, the average yearly pay for engineering data analytics lead in San Ramon, CA is $138,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What does an engineering data analytics lead do?

An Engineering Data Analytics Lead oversees the collection, analysis, and interpretation of data to support engineering projects and decision-making. They manage data analytics teams, develop strategies to leverage data for process improvements, and ensure data quality. Their role bridges the gap between engineering and data science, providing insights that drive efficiency, innovation, and business growth. They also collaborate closely with engineers, stakeholders, and leadership to align data initiatives with organizational goals.

How does an engineering data analytics lead typically collaborate with engineering and business teams to drive data-driven decisions?

As an Engineering Data Analytics Lead, you'll regularly bridge the gap between technical engineering teams and business stakeholders. You’ll translate complex data findings into actionable insights, guide data collection strategies, and ensure analytics align with broader organizational goals. Collaboration often involves leading cross-functional meetings, designing data dashboards for engineers, and advising business leaders on how data can inform project priorities. This role requires strong communication skills, as you'll need to distill technical details for non-technical audiences and foster a culture of data-driven decision-making across departments.

What are the key skills and qualifications needed to thrive as an engineering data analytics lead, and why are they important?

To excel as an Engineering Data Analytics Lead, you need expertise in data analysis, statistical modeling, and engineering principles, typically supported by a degree in engineering, mathematics, or a related field. Proficiency with analytics tools such as Python, R, SQL, and data visualization platforms, as well as experience with big data systems like Hadoop or Spark, is crucial. Strong leadership, problem-solving abilities, and clear communication are essential soft skills for guiding teams and translating complex data into actionable insights. These skills enable effective decision-making, drive innovation, and ensure successful data-driven strategies within engineering projects.

What cities near San Ramon, CA are hiring for Engineering Data Analytics Lead jobs?

Cities near San Ramon, CA with the most Engineering Data Analytics Lead job openings:

Data Analytics Developer

San Jose, CA • On-site

Full-time

Re-posted 26 days ago


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
• Must have extensive experience and excellent expertise in Java based server-side high-performance, highly-available applications development;
• Practical design, development and deployment experience with evolving existing designs towards large scale service architecture;
• Excellent object-oriented analysis and design skills and using proven architectural patterns;
• Must have practical experience with distributed computing frameworks;
• Experience with serialization frameworks such as Avro and Protocol Buffers;
• Experience developing systems following the REST architectural style;
• Knowledge of relation database concepts and SQL;
• Practical experience with unit testing (e.g., JUnit) and mocking (e.g., Mockito) frameworks;
• Practical experience with build frameworks such as Maven and sbt;
• Practical experience with the Scala programming language (desirable);
• Practical experience with Hadoop, Spark, Akka (desirable);
Qualifications
• 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.