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Data Analytics Engineer Jobs in Santa Rosa, CA (NOW HIRING)

InnoActive Group

Project Controls Analyst

Sonoma, CA · On-site

Data Analytics & Reporting * Collect, analyze, and interpret project performance data to identify ... Bachelor's degree in Engineering, Construction Management, Project Management, Finance, or a ...

Viavi Solutions

Manufacturing Engineer

Santa Rosa, CA · On-site

$79K - $102K/yr

Manufacturing Engineer: Job Summary: The Manufacturing Engineer supports VIAVI's optics ... This role focuses on optimizing production through data analysis, quality control, and continuous ...

Viavi Solutions

Manufacturing Engineer

Santa Rosa, CA · On-site

$68K/yr

Manufacturing Engineer: Job Summary: The Manufacturing Engineer supports VIAVI's optics ... This role focuses on optimizing production through data analysis, quality control, and continuous ...

Viavi Solutions

Manufacturing Engineer

Santa Rosa, CA · On-site

$68K - $127K/yr

Manufacturing Engineer: Job Summary: The Manufacturing Engineer supports VIAVI's optics ... This role focuses on optimizing production through data analysis, quality control, and continuous ...

Viavi Solutions

Manufacturing Engineer

Santa Rosa, CA · On-site

$79K - $102K/yr

Manufacturing Engineer: Job Summary: The Manufacturing Engineer supports VIAVI's optics ... This role focuses on optimizing production through data analysis, quality control, and continuous ...

RTX

Master Data Planner (Onsite)

El Verano, CA

$95K - $181K/yr

Facilitate Engineering Change (EC) implementation and communication * Drive and support quarterly ... Strong Excel skills for data analysis (e.g. Pivot Tables) Qualifications We Prefer * Aerospace ...

Viavi Solutions

Manufacturing Engineer

Santa Rosa, CA · On-site

$79K - $102K/yr

Manufacturing Engineer: Job Summary: The Manufacturing Engineer supports VIAVI's optics ... This role focuses on optimizing production through data analysis, quality control, and continuous ...

Apple

AR/VR Design Validation Engineer

Bodega Bay, CA · On-site

$184K - $324K/yr

Apple is seeking an optical engineer with a passion for translating next-generation display ... data analysis capabilities using tools such as JMP, Matlab, Python, etc Pay & Benefits At Apple ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Santa Rosa, CA

Data Analytics Engineer information

See Santa Rosa, CA salary details

$48.7K

$141.8K

$194.1K

How much do data analytics engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data analytics engineer in Santa Rosa, CA is $141,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $150,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What cities near Santa Rosa, CA are hiring for Data Analytics Engineer jobs?

Cities near Santa Rosa, CA with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Santa Rosa, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $141,823 per year, or $68.2 per hour.

Reliability Engineer - Compound Semiconductor Device Reliability Engineer

Santa Rosa, CA • On-site

Keysight Technologies, Inc.
Electrical Equipment, Appliance, and Component Manufacturing • 10K+ employees
Learn more about Keysight Technologies, Inc.external

$112K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
Join a team at the forefront of semiconductor innovation, enabling the breakthrough technologies that differentiate Keysight's industry-leading design enablement solutions. As a Reliability Engineer-Compound Semiconductor Device, you will work hands-on with some of the world's most advanced compound semiconductor ICs and high-performance interconnect technologies that power next-generation RF, microwave, millimeter-wave, and high-speed digital products.
In this role, you will play a critical part in ensuring that cutting-edge technologies meet the demanding performance, quality, and lifetime expectations of Keysight customers. You will collaborate closely with device engineers, process technologists, product designers, and manufacturing teams to evaluate, qualify, and continuously improve the technologies that form the foundation of Keysight's product leadership. If you are excited by advanced semiconductor technology, data-driven problem solving, and the challenge of ensuring reliability in products operating at the leading edge of performance, this role offers an opportunity to make a visible and lasting impact.
What You'll Do
  • Design, develop, and execute reliability qualification strategies for advanced compound semiconductor integrated circuits, including high-frequency FETs, bipolar transistors, diodes, and passive components.
  • Evaluate emerging semiconductor device technologies, ensuring they meet the stringent reliability requirements of high-performance Test & Measurement applications.
  • Investigate transistor- and diode-level degradation mechanisms, develop acceleration methodologies, and establish qualification plans to assess long-term device reliability.
  • Apply advanced statistical and data analysis techniques to identify reliability risks, understand failure mechanisms, and guide technology development decisions.
  • Build and expand device reliability characterization infrastructure, enabling rapid assessment of new technologies while supporting future growth in capability and test capacity.
  • Partner with technology development, product engineering, process integration, and manufacturing teams to translate reliability data into action that drives product success.
  • Communicate results to technical and business stakeholders, influencing technology roadmaps and qualification decisions.

Qualifications
Qualifications & What Will Help You Succeed
We're looking for a highly motivated engineer or scientist who is excited by the challenge of developing and qualifying the advanced semiconductor technologies that power Keysight's industry-leading measurement solutions. This role is ideal for candidates with expertise in semiconductor device reliability, and a passion for understanding the physics, degradation mechanisms, and long-term performance of advanced IC technologies.
Required Qualifications
This role requires a combination of practical hands-on experience, academic rigor, and analytical skills.
  • B.S. in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or a related technical field (or equivalent industry experience).

Candidates must have 8+ years of proven experience (or combination of degree and experience) in the following areas:
  • Strong understanding of transistor and diode operation, including device characteristics, performance tradeoffs, and failure mechanisms.
  • Solid foundation in semiconductor device physics and the principles governing device behavior and reliability.
  • Experience developing or interpreting reliability qualification methodologies for semiconductor devices.
  • Experience with accelerated life testing, reliability modeling, and lifetime prediction methodologies.
  • Familiarity with electrical characterization and reliability test equipment used for semiconductor devices and circuits.
  • Strong background in probability, statistics, and data analysis, with the ability to draw meaningful conclusions from complex datasets.
  • Excellent analytical and problem-solving skills, including root-cause analysis and failure mechanism investigation.
  • Effective communication and interpersonal skills, enabling productive collaboration across multidisciplinary engineering teams.
  • A high level of ownership, accountability, initiative, and self-motivation, with a proactive approach to driving technical outcomes.

Preferred Qualifications
  • Knowledge of III-V semiconductor technologies including InP, GaAs, or related compound semiconductor platforms.
  • Experience with high-frequency device technologies, including design, fabrication, process integration, characterization, or reliability evaluation.
  • Hands-on experience applying Statistical Process Control (SPC) and Design of Experiments (DOE) methodologies.

What Sets Exceptional Candidates Apart
  • Deep expertise in semiconductor device reliability and failure physics.
  • The ability to connect device physics, reliability behavior, process technology, and statistical analysis to solve complex engineering problems.
  • Experience establishing reliability methodologies for emerging device technologies.
  • Curiosity and enthusiasm for working on technologies operating at the forefront of RF, microwave, millimeter-wave, and compound semiconductor performance.
  • A passion for understanding how advanced semiconductor devices work and why they fail.
  • A desire to influence the qualification and deployment of the technologies that directly enable Keysight's next generation of differentiated products.

The role will be based at our HQ in Santa Rosa, CA. Candidates must be local or willing to relocate to Santa Rosa area.
This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight's ability to obtain any required government authorizations. Candidates must be a U.S. citizen or lawful permanent resident of the U.S., or protected individual, having authorization from the U.S. government for export-controlled items under 8 U.S.C. 1324b(a)(3).
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
Santa Rosa, CA MIN $138,960.00- MID $185,280.00- MAX $231,600.00
Note: For other locations, pay ranges will vary by region
This role is eligible for Keysight Results Bonus Program
US Employees may be eligible for the following benefits:
  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)

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