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Data Quality Engineer Jobs in California (NOW HIRING)

Qualitest Group

Data Quality Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

We are seeking a Data Quality Engineer to join our Data Products team and help establish quality engineering best practices across a rapidly expanding data platform within the life insurance domain.

Stanford Health Care

Senior Data Quality Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

... Data Engineer to lead the advancement of our enterprise data governance capabilities, serving as a cornerstone of our organization's commitment to trusted, high-quality data. In this role, you will ...

Yum

Sr. Data Quality Engineering Analyst

Irvine, CA · On-site

The Senior Data Quality Engineering Analyst role will be responsible to take up lead level activities - participating in requirement understanding, test planning, review of test execution result, The ...

Yum Brands

Sr. Data Quality Engineering Analyst

Irvine, CA · Hybrid

$120K - $1M/yr

The Senior Data Quality Engineering Analyst role will be responsible to take up lead level activities - participating in requirement understanding, test planning, review of test execution result, The ...

Apex Systems

AI Quality Engineer

Beverly Hills, CA · On-site

$82K - $106K/yr

You will partner with engineering, data science, and product teams to embed quality across the entire AI lifecycle-from data to model to user experience. Key Responsibilities AI / ML Model Validation

Crane Company

Quality Engineer III

Auburn, CA · On-site

$77K - $100K/yr

The Quality Engineer works with minimal supervision and uses originality, ingenuity and established ... Monitor and analyze production data, quality control systems, and critical points in the value ...

Swagelok Northern California

Quality Engineer

Fremont, CA

$78K - $101K/yr

The Quality Engineer drives continuous improvement in business performance by ensuring processes ... Through data-driven decision making and root cause problem solving, this position helps the ...

Actalent

Quality Engineer

Carlsbad, CA

$74K - $95K/yr

Analyze quality trends, customer issues, field returns, and manufacturing data to identify systemic ... Quality Engineering experience supporting manufacturing and product quality throughout the product ...

Peregrine Team

Quality Engineer

Los Angeles, CA · On-site

$77K - $100K/yr

Analyze production data to identify trends and improvement opportunities Qualifications * Bachelor's degree in Engineering or related field * 3+ years of experience in quality engineering or ...

Crane Company

Quality Engineer III

Auburn, CA

$77K - $100K/yr

The Quality Engineer works with minimal supervision and uses originality, ingenuity and established ... Monitor and analyze production data, quality control systems, and critical points in the value ...

Cotality

Professional, Data Quality

Irvine, CA · On-site

Documents business rules and data quality impacts with assistance from affected groups. • Correct all data quality errors, either with system tools or working with programmers. • Prepare reports ...

Bruker

Quality Engineer

Santa Barbara, CA · On-site

$73K - $140K/yr

As a Quality Engineer at Bruker AFM, you'll play a pivotal role in quality engineering, improving ... Owning the process, documentation, and PLM tool Processing NCM data into databases (SAP) Managing ...

UNAVAILABLE

Quality Engineer

Santa Barbara, CA

$73K - $140K/yr

As a Quality Engineer at Bruker AFM, you'll play a pivotal role in quality engineering, improving ... Owning the process, documentation, and PLM tool Processing NCM data into databases (SAP) Managing ...

Skylimit Systems

Quality Engineer

Simi Valley, CA

$90K - $120K/yr

Analyze quality data, drive root cause analysis, and implement corrective/preventive actions. * Collaborate with engineering, production, and supply chain to resolve quality issues and improve ...

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All JobsData Quality Engineer JobsData Quality Engineer Jobs in California

Data Quality Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data quality engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data quality engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Data Quality Engineers in their role?

Data Quality Engineers often encounter challenges such as integrating data from diverse sources, identifying and resolving inconsistencies or gaps in large datasets, and ensuring ongoing compliance with data governance policies. They regularly work with other data professionals to define data quality metrics, establish validation rules, and automate data cleansing processes. Problem-solving and adaptability are key, as you may have to address unexpected data issues that impact critical business operations. Successfully overcoming these challenges is vital for enabling organizations to make data-driven decisions with confidence.

What are the key skills and qualifications needed to thrive in the Data Quality Engineer position, and why are they important?

To thrive as a Data Quality Engineer, you need a strong background in data analysis, data management, and database technologies, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, ETL platforms, data profiling tools, and certifications such as CDMP or from DAMA International are highly valuable. Excellent problem-solving skills, attention to detail, and strong communication help you collaborate effectively with cross-functional teams. These skills ensure that data systems are reliable, accurate, and support business goals across an organization.

What is a Data Quality Engineer job?

A Data Quality Engineer ensures the accuracy, consistency, and reliability of data within an organization. They develop and implement data quality frameworks, perform data profiling, create validation rules, and monitor data pipelines to detect anomalies. Their role often involves working with databases, ETL processes, and data governance teams to maintain high data integrity. Strong analytical skills, proficiency in SQL, and knowledge of data validation tools are essential for this role.

What are popular job titles related to Data Quality Engineer jobs in California? For Data Quality Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Quality Engineer jobs in California look for? The top searched job categories for Data Quality Engineer jobs in California are:
What cities in California are hiring for Data Quality Engineer jobs? Cities in California with the most Data Quality Engineer job openings:
Data Quality Engineer jobs near you
Infographic showing various Data Quality Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Data Quality Engineer

Data Quality Engineer

Qualitest Group

Santa Clara, CA • On-site

$135K - $162K/yr

Full-time

Posted 26 days ago

Job description

Are you interested in working with the World's leading AI-first Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!
We are looking for a Data Quality Engineer to join our growing team in United States!
We are seeking a Data Quality Engineer to join our Data Products team and help establish quality engineering best practices across a rapidly expanding data platform within the life insurance domain. This role will focus on ensuring the quality, reliability, and integrity of foundational data products that enable enterprise reporting, analytics, and digital initiatives.
As the organization accelerates the development of more than 30 data products, the Quality Engineer will play a key role in operationalizing testing practices, driving consistency across multiple delivery teams, and supporting both internal and vendor-led development efforts. The ideal candidate has strong experience in data validation, ETL testing, and data pipeline quality, with a passion for building scalable quality processes in a cloud-based data environment.
Responsibilities:
  • Define and implement Quality Engineering best practices for enterprise data products.
  • Develop and execute test strategies for data pipelines, ETL processes, and data transformations.
  • Validate data across multiple layers of the data platform, ensuring accuracy, completeness, and consistency from source systems through curated data products.
  • Perform data validation across Microsoft Azure OneLake using a Medallion Architecture (Bronze, Silver, Gold).
  • Verify data movement and transformation between on-premises and Azure-based data sources.
  • Partner with Data Engineers, Product Owners, Architects, Business Analysts, and external delivery partners to embed quality throughout the development lifecycle.
  • Create reusable test scenarios and validation frameworks that can be adopted consistently across multiple data product teams.
  • Execute source-to-target data validation, reconciliation, and transformation testing.
  • Identify, document, and track defects while working closely with development teams to resolve data quality issues.
  • Support regression testing for enhancements to existing data products.
  • Contribute to automation efforts for data validation and ETL testing where appropriate.
  • Participate in release validation and production readiness activities.
  • Help establish testing standards that improve delivery velocity while maintaining data quality.

Required Qualifications:
  • 5+ years of Quality Engineering or QA experience with a strong focus on data platforms.
  • Experience testing ETL/ELT pipelines and data transformation processes.
  • Strong SQL skills for data validation and reconciliation.
  • Experience validating large datasets across multiple source systems.
  • Experience working with cloud data platforms, preferably Microsoft Azure.
  • Understanding of modern data architectures, including data lakes and Medallion Architecture (Bronze, Silver, Gold).
  • Experience testing data ingestion, transformation, and data integration workflows.
  • Strong analytical and troubleshooting skills.
  • Experience working in Agile development environments.

Preferred Qualifications:
  • Experience with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, or OneLake.
  • Experience validating enterprise reporting and analytical data products.
  • Knowledge of Customer 360 or master data management concepts.
  • Experience with test automation for data validation.
  • Familiarity with notebook orchestration, scheduled pipelines, and data workflow automation.
  • Experience working alongside offshore or vendor development teams.

Technology Environment:
  • Microsoft Azure
  • Azure OneLake / Microsoft Fabric
  • Medallion Architecture (Bronze, Silver, Gold)
  • SQL
  • ETL/ELT Pipelines
  • Data Warehousing
  • On-premises and cloud data sources
  • Data validation and reconciliation frameworks
  • Agile delivery

What You'll Be Working On:
  • Building quality practices for a growing portfolio of 30+ enterprise data products.
  • Supporting foundational data products that standardize interfaces across multiple business domains.
  • Validating enterprise data used for executive reporting, analytics, and digital initiatives.
  • Ensuring reliable movement of data from operational systems into Azure-based analytical platforms.
  • Establishing scalable quality processes that support long-term product enhancements and future development.

Benefits:
Why QualityAI?
QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, the company provides assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions.
Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live.
  • Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.
  • Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.
  • Clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.
  • Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
  • Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.
  • Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn - tap your network for net-worth.
  • A Competitive pay, the salary range for the role is $80,000 - $100,000.

If you like what you have read, send us your resume and let's start talking!
Intrigued to find more about us?
Visit our website at https://www.QualityAIgroup.com/
If you like what you have read, send us your resume and let's start talking!
LinkedIn: https://www.linkedin.com/company/qualityaigroup

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