ZipRecruiter

Log In

1

Analyzer Engineer Jobs in California (NOW HIRING)

Plaid Inc

Analytics Engineer

San Francisco, CA · On-site

$157K - $214K/yr

The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA and Marketing organizations. We build and maintain the core semantic layer data models (dbt on ...

Everpure

Senior Analytics Engineer, GTM

Santa Clara, CA

$122K - $168K/yr

As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations, improving quality and engineering ...

Candid Health

BI (Analytics) Engineer

San Francisco, CA · On-site

$135K - $180K/yr

Analytics Engineer At Candid Health, we're searching for an Analytics Engineer to bridge Analytics Engineering, Business Intelligence, and Data Analysis. As a key strategic investment for the company ...

LaBine and Associates

Analysis Engineer

Torrance, CA · On-site

Analysis Engineer - Drive Performance at the Edge of What's Possible Location: Hawthorne | Full-Time | Engineering Make design decisions that matter--under conditions that don't forgive. As an ...

LaBine and Associates

Analysis Engineer

Torrance, CA · On-site

Analysis Engineer - Drive Performance at the Edge of What's Possible Location: Hawthorne | Full-Time | Engineering Make design decisions that matter-under conditions that don't forgive. As an ...

LaBine and Associates

Analysis Engineer

Torrance, CA · On-site

Analysis Engineer - Drive Performance at the Edge of What's Possible Location: Hawthorne | Full-Time | Engineering Make design decisions that matter--under conditions that don't forgive. As an ...

Everpure

Senior Analytics Engineer, GTM

Santa Clara, CA · On-site

$122K - $168K/yr

As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations, improving quality and engineering ...

next page

Showing results 1-20

All JobsAnalyzer Engineer JobsAnalyzer Engineer Jobs in California

Analyzer Engineer information

See California salary details

$35.5K

$95.7K

$146.6K

How much do analyzer engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for analyzer engineer in California is $95,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,800.00 and $108,600.00 per year, depending on experience, location, and employer.

What is an analyzer engineer?

An analyzer engineer designs, develops, and maintains analytical instruments used to measure and analyze chemical, physical, or biological properties. They often work with laboratory equipment, calibration tools, and data analysis software to ensure accurate testing and measurement processes. Strong knowledge of instrumentation, engineering principles, and safety standards is essential for this role.

What are some common challenges Analyzer Engineers face when integrating new instrumentation into existing process systems?

Analyzer Engineers often encounter challenges such as ensuring compatibility between new analyzers and legacy control systems, maintaining data accuracy during installation, and minimizing process downtime. Collaboration with process, control, and maintenance teams is crucial to address wiring, calibration, and software integration issues. Clear communication and thorough documentation help streamline the integration process and ensure compliance with safety and quality standards.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.

What is the highest paid engineering career?

In engineering, petroleum engineers and aerospace engineers tend to have the highest median salaries, often exceeding $130,000 annually. Specialized roles requiring advanced skills, certifications, and experience in fields like data science or systems architecture can also command top compensation.

What are the key skills and qualifications needed to thrive as an Analyzer Engineer, and why are they important?

To thrive as an Analyzer Engineer, you need a solid background in chemical engineering or instrumentation, along with expertise in process analyzers and control systems. Familiarity with tools such as gas chromatographs, spectrometers, PLCs, and relevant industry certifications (like ISA or TÜV) is typically required. Strong problem-solving, attention to detail, and effective communication skills help you excel in troubleshooting and collaborating with operations teams. These competencies are crucial for ensuring accurate process monitoring, regulatory compliance, and optimal plant performance.

What are Analyzer Engineers?

Analyzer Engineers are specialized professionals who design, install, maintain, and troubleshoot analytical instruments used to measure various properties of process streams in industries such as oil and gas, chemical, and pharmaceuticals. These engineers work with equipment like gas chromatographs, oxygen analyzers, and pH meters to ensure accurate and reliable data collection for process optimization and safety. Their responsibilities often include selecting the appropriate analyzers, calibrating instruments, and ensuring compliance with industry standards and regulations.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering with extensive experience and advanced skills can earn $500,000 or more annually. High compensation often involves leadership roles, bonuses, stock options, or working in high-demand industries with complex technical requirements.

What is the difference between Analyzer Engineer vs Process Engineer?

AspectAnalyzer EngineerProcess Engineer
Required CredentialsBachelor's degree in engineering, chemistry, or related field; certifications in analytical methods are commonBachelor's or master's in chemical, mechanical, or industrial engineering; certifications in process management are typical
Work EnvironmentLaboratories, testing facilities, industrial plantsManufacturing plants, chemical facilities, production lines
Employer & Industry UsageOil & gas, chemical, environmental testing companiesManufacturing, chemical processing, energy sectors

Analyzer Engineers focus on developing and maintaining analytical testing methods and instruments, ensuring accurate data collection. Process Engineers optimize manufacturing processes for efficiency and safety. While both roles require engineering knowledge, Analyzer Engineers are more lab and testing-oriented, whereas Process Engineers work on production systems and process improvements.

What are popular job titles related to Analyzer Engineer jobs in California? For Analyzer Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Analyzer Engineer jobs in California look for? The top searched job categories for Analyzer Engineer jobs in California are:
Analyzer Engineer jobs near you
Infographic showing various Analyzer Engineer job openings in California as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $95,700 per year, or $46 per hour.
Analytics Engineer

Analytics Engineer

Plaid Inc

San Francisco, CA • On-site

$157K - $214K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago

Job description

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA and Marketing organizations. We build and maintain the core semantic layer data models (dbt on Databricks), activation layer, and BI surfaces that these teams rely on - and we partner with stakeholders to turn those models into decisions, forecasts, analytics and experiments.
As an Analytics Engineer, you'll also act as an applied data science partner. In addition to core analytics engineering, you'll work on predictive modeling, experimentation, lifetime value (LTV), and attribution alongside the broader team.
As an Analytics Engineer on the Marketing pod, you will be the technical owner of Plaid's Marketing data stack. You will build the dbt models, predictive frameworks, and self-serve data products that Marketing leadership uses to plan spend, measure performance, and drive growth.
You'll partner directly with PMM, Growth Marketing, and Marketing leadership to deliver core data models, frameworks, and tools - including LTV, lead scoring, and experimentation tooling - with a north star that aims for prescriptive and production-grade analytics. You'll also help build the AI-powered experiences that let Marketing partners self-serve from our metric layer
Responsibilities
  • Own the dbt models and data marts that power Marketing analytics, activation, and reporting.
  • Build, validate, and productionize predictive models (lead scoring, LTV, channel attribution, propensity) in partnership with Marketing and GTM stakeholders
  • Partner with Marketing leadership on measurement frameworks, experiment design, and spend optimization - translating business questions into analytical answers
  • Enable self-serve analytics through AI tools and well-documented semantic models
  • Collaborate with ML, Data Engineering, and Ops teams to deliver best-in-class data infrastructure to Marketing

Qualifications
  • Bachelor's degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience)
  • 4+ years of proven experience in analytics engineering, data science, or a closely adjacent function
  • Advanced SQL and production-grade data modeling experience - dbt strongly preferred
  • Python proficiency for modeling and analysis work
  • Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, BigQuery, or Redshift)
  • Demonstrated experience shipping predictive models or applied ML in a business context
  • Prior experience in Marketing Analytics, Growth, or GTM analytics at a SaaS or usage-based technology company
  • Strong stakeholder communication and the ability to autonomously drive projects end-to-end

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Apply