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Analyzer Engineer Jobs in California (NOW HIRING)

G3 Enterprises

Analytics Engineer

Modesto, CA · On-site

Analytics Engineer Posting Start Date: 7/9/26 Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring ...

Sutter Health

Analytics Engineer III

Sacramento, CA · On-site

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

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 ...

Sutter Health

Analytics Engineer III

Sacramento, CA · Hybrid

$117K - $176K/yr

The Analytics Engineer 3 is a specialized mid level technical professional who exercises independent judgment to architect, engineer, and govern the enterprise "Semantic Layer." Unlike a report ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Tapp Label Company

Analytics Engineer (15361)

Modesto, CA · On-site

$120K - $145K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

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 ...

G3 Enterprises

Analytics Engineer (15361)

Modesto, CA · On-site

$120K - $145K/yr

Summary The Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of data engineering and analytics ensuring data quality, designing efficient models, and ...

Plaid Inc

Senior 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 ...

Zipline

Senior Analytics Engineer

South San Francisco, CA · On-site

$125K - $172K/yr

As a Senior Analytics Engineer, you are the owner of analytics infrastructure and datasets that directly inform operational decisions across the company, ensuring planes launch on time, inventory is ...

DoorDash

Analytics Engineer

San Francisco, CA · On-site

About the Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making ...

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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 Aug 9, 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 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 are the key skills and qualifications needed to thrive as an analyzer engineer?

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 is an analyzer engineer?

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 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 August 2026, with employment types broken down into 72% Full Time, 8% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,700 per year, or $46 per hour.

Senior Analytics Engineer, GTM

Everpure

Santa Clara, CA • On-site

Full-time

Re-posted just now

Job description

Job Summary:
Everpure is fundamentally reshaping the data storage industry and is seeking a Senior Analytics Engineer to drive modernization initiatives. In this role, you will lead efforts in building scalable analytics solutions, collaborating with various teams to enhance data engineering practices and improve operational efficiency.
Responsibilities:
• Lead and contribute hands-on to the team’s dbt and Snowflake modernization initiatives
• Build scalable semantic and metrics layers supporting GTM domains including pipeline, forecasting, quota, attainment, and seller performance
• Design and maintain robust ELT/ETL pipelines, orchestration workflows, and reusable business-facing datasets
• Build CI/CD, testing, observability, lineage, and data quality frameworks for analytics engineering workflows
• Ingest and transform data from APIs and GTM systems into curated canonical datasets with strong quality standards
• Drive architecture decisions and establish modern analytics engineering best practices across the team
• Partner closely with BIAs, RevOps, and Systems teams to translate business problems into scalable data products
• Help automate manual reporting and operational workflows through configurable and scalable frameworks
• Apply AI capabilities to workflow automation, operational efficiency, and insight generation, while helping lay the foundation for future conversational analytics initiatives
Qualifications:
Required:
• 7+ years of experience in analytics engineering, data engineering, or business intelligence
• Strong expertise in SQL, Python, Snowflake, and modern ELT development practices
• Hands-on experience with dbt, orchestration workflows, and scalable data modeling
• Experience implementing CI/CD, automated testing, observability, and data quality frameworks
• Strong understanding of semantic modeling, metrics layers, governed metrics, and reusable analytics datasets
• Experience using AI to build workflows, automate processes, improve operational efficiency, or support business intelligence use cases
• Ability to influence technical direction while remaining hands-on
• Strong communication and collaboration skills across technical and business teams
• Pragmatic interest in applying AI capabilities to real business workflows over time
• Passion for modernization, reporting trust, and scalable analytics engineering
Preferred:
• GTM, Sales, Revenue Operations, or forecasting analytics domains
• Salesforce, Clari, Anaplan, Workday, or related enterprise systems
• Analytics engineering modernization initiatives
• Self-service analytics ecosystems and semantic layers
• Conversational analytics, AI copilots, or workflow automation concepts
• Experience migrating legacy SQL or ETL frameworks into modern dbt-based transformation workflows
• Tableau or modern BI visualization platforms
Company:
We are Everpure. We don’t just store data—we bring it to life. Founded in , the company is headquartered in , , with a team of 5001-10000 employees. The company is currently Late Stage.

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