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Data Quality Engineer Jobs in California (NOW HIRING)

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 · On-site

$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

Quality Engineer The Quality Engineer supports product and process quality across the entire ... Analyze quality trends, customer issues, field returns, and manufacturing data to identify systemic ...

Actalent

Quality Engineer

Carlsbad, CA · On-site

$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 ...

Vantedge Medical - VDB

Quality Engineer

San Jose, CA · On-site

$84K - $109K/yr

Work with Inspection and CMM teams to support measurement data interpretation, inspection method ... Quality Engineering, Manufacturing Engineering, or related engineering role in a manufacturing ...

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 ...

Wasco Switches & Sensors

Quality Engineer

Santa Maria, CA · On-site

$87K - $102K/yr

The Quality Engineer applies technical and problem-solving skills to ensure products and processes ... Analyze data, conduct risk assessments, and support FMEA and other preventive quality tools. · ...

Joby Aviation

Quality Engineer

Marina, CA · On-site

$70K - $113K/yr

This Quality Engineering position will help baseline the company's design efforts and pave the way ... Develop and manage data and metrics using data visualization tools to report and provide ...

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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 20, 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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
Senior Data Quality Engineer

Senior Data Quality Engineer

Stanford Health Care

Palo Alto, CA • On-site

$124K - $169K/yr

Full-time

Posted 14 days ago

Job description

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.
Day - 08 Hour (United States of America)
This is a Stanford Health Care job.
We are seeking a highly experienced and strategic Senior 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 take ownership of optimizing and maturing our data governance infrastructure across key platforms, including Databricks Unity Catalog, to ensure seamless metadata management, data lineage, access control, and policy enforcement at enterprise scale. You will be instrumental in designing and implementing a robust data quality management platform - establishing the standards, frameworks, and automated monitoring pipelines that elevate confidence in data across every domain.
Beyond quality, you will architect and govern a master data management platform that brings consistency, accuracy, and a single source of truth to our most critical data assets. As a technical leader and trusted advisor, you will lay the foundational underpinnings of our enterprise data governance program, translating governance principles into scalable engineering solutions that build lasting trust in data across business units, stakeholders, and leadership alike.
A Brief Overview
The Senior Enterprise Data Engineer is responsible for designing and creating complex pipelines and curated data structures/products for use by data analysts across the organization. This position is also responsible consultation and support of other data engineers in the design, development and implementation of data movement processes to populate the data structures designed.
This position exists to provide data solutions for broad and consistent use across the SHC enterprise.
Locations
Stanford Health Care
What you will do
  • With advanced technical knowledge and skills, collaborates with leaders and users to create, test and implement complex stores , data pipelines, etc. based on understanding of business needs and requirements.
  • Responsible for the research, road mapping and maintaining performance of SHC's standard data modeling, DevOps and development tools and processes.
  • Explore and innovate with new technologies to create solutions, enhance development and/or operational efficiency, etc.
  • Without supervision, performs analysis, development, and testing of complex data marts, and support other data engineers in performing these tasks, and encourages use of the solutions for data-driven decision making.
  • Possesses an advanced understanding of many data domains across SHC and uses it to produce high quality solutions.
  • Build strong working relationships with users and team members, including Directors and above. Gains trust and respect of key users.
  • Understands advanced data governance principles and practices and actively participates as a technical data steward in metadata, data quality, and other data governance areas and activities. Assists in identification and resolution of data quality issues.
  • Manage multiple complex activities. Manage tasks, dependencies, and user/team expectations regarding scope and timeline of solution delivery.
  • Provides project management / project leadership as appropriate to drive timelines and deliverables of projects across multiple departments/functions
  • Participates in and contributes to project working groups with team members, users, analysts, clinicians, and SHC leadership.
  • Leads teams to define design and development standards and conduct peer reviews of solution designs for compliance with such standards.
  • Defines analytics standards and best practices and support business data analysts in training and adoption of these standards.
  • Participates in and actively contributes to SHC analytics community meetings
  • Tune performance of complex solutions.
  • Troubleshoots and performs root cause analysis of incidents and establishes countermeasures to improve supported solutions.

Education Qualifications
  • BS/BA DEGREE IN INFORMATION TECHNOLOGY, INFORMATION SYSTEMS, BUSINESS MANAGEMENT, BUSINESS ANALYTICS, BUSINESS ADMINISTRATION OR A DIRECTLY RELATED FIELD FROM AN ACCREDITED COLLEGE OR UNIVERSITY REQUIRED.

Experience Qualifications
  • 7 (SEVEN) OR MORE YEARS' OF EXPERIENCE IN REPORTING, ANALYTICS, BUSINESS INTELLIGENCE OR HEALTHCARE TECHNOLOGY.
    OR
    3 (THREE) OR MORE YEARS' DEVELOPMENT EXPERIENCE IN CLOUD DATALAKE TECHNOLOGIES (I.E., PYSPARK NOTEBOOKS/PIPELINES ON DATABRICKS) UTILIZING DEVOPS, CI/CD, ORCHESTRATION PROCESSES REQUIRED.

Required Knowledge, Skills and Abilities
  • Advanced knowledge of relational database concepts and design
  • Advanced data modeling skills, ability to translate business requirements into logical and physical database designs for moderate to large complex projects.
  • Ability to develop solutions in cloud data platforms (i.e., Azure, DataBricks, etc.) and technologies (i.e., PySpark, Notebooks, GitHub, etc.) to deploy production solutions in a secure and highly automated manner.
  • Expert knowledge of SQL. Proficient with ability to relate and use data across multiple data domains.
  • Expert knowledge and skills in SHC's standard development and design tools and general DevOps concepts/practices.
  • Tune performance of moderately complex solutions.
  • Troubleshoots and performs root cause analysis of incidents and establishes countermeasures to improve supported solutions.
  • Able to work without direct supervision. Provides regular updates to supervisor on pending tasks, pain points, and potential roadblocks.
  • Demonstrated ability for completing complex projects.
  • Work is of good quality with only rare problems or defects with moderate to complex solutions.
  • Can successfully present moderately complex ideas and information to a variety of audiences, including senior managers and industry groups. Effective verbal, written, and interpersonal communication skills.
  • Helps fulfill SHC's vision. Understands how their work supports the vision and proposes better ways to achieve the vision.

These principles apply to ALL employees:
SHC Commitment to Providing an Exceptional Patient & Family Experience
Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.
You will do this by executing against our three experience pillars, from the patient and family's perspective:
  • Know Me: Anticipate my needs and status to deliver effective care
  • Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
  • Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.
Base Pay Scale: Generally starting at $66.52 - $88.14 per hour
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

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