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Data Quality Jobs in California (NOW HIRING)

Cotality

Professional, Data Quality

Irvine, CA · On-site

Makes recommendations to improve data quality and availability. • Uses critical thinking skills to determine root cause and recommend solutions • Utilize tools to analyze, query and manipulate ...

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.

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Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. The schedule for this role with be from 1:30 - 10pm. Responsibilities:

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Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. The schedule for this role with be from 1:30 - 10pm. Responsibilities:

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Data Quality Analyst

San Jose, CA · On-site

They are seeking a Data Quality Analyst to help annotate and label data for AI training applications. Responsibilities : • Use proprietary annotation tools to label objects, poses, and interactions ...

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Data Quality Analyst

San Jose, CA · On-site

They are seeking a Data Quality Analyst to help annotate and label data for AI training applications. Responsibilities : • Use proprietary annotation tools to label objects, poses, and interactions ...

Volunteers of America

Data Quality Specialist

Lancaster, CA · On-site

$23.08 - $24.30/hr

VOALA offers competitive medical, dental, vision and retirement benefits JOB SUMMARY AND PURPOSE The Data Quality Specialist willmaintain data for clients and families that have accessed the program.

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Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

The Data Quality team owns the standards, guidelines, and audit infrastructure that ensure our training data meets the bar our AI systems require. As we scale, a growing share of that work runs ...

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Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

The Data Quality team owns the standards, guidelines, and audit infrastructure that ensure our training data meets the bar our AI systems require. As we scale, a growing share of that work runs ...

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Data Quality Partner Lead

San Jose, CA · On-site

They are seeking a Data Quality Partner Lead to build and manage their external annotation and review vendor network from scratch, ensuring high data quality standards are met. Responsibilities : • ...

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How much do data quality jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data quality in California is $40.89, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $53.61 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the highest paying data job?

The highest paying data jobs often include Data Science Director, Chief Data Officer, or Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees.

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

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is a data quality job?

A data quality job involves ensuring the accuracy, completeness, consistency, and reliability of data within an organization. Professionals in this role often use tools like data profiling and validation software, and may hold certifications such as Certified Data Management Professional (CDMP). The work typically requires attention to detail and understanding of data governance standards.
What are the most commonly searched types of Data Quality jobs in California? The most popular types of Data Quality jobs in California are:
What are popular job titles related to Data Quality jobs in California? For Data Quality jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in California look for? The top searched job categories for Data Quality jobs in California are:
What cities in California are hiring for Data Quality jobs? Cities in California with the most Data Quality job openings:
Data Quality jobs near you
Infographic showing various Data Quality 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 $85,059 per year, or $40.9 per hour.

Data Quality Analyst

Avani Technology Solutions, Inc.

Newport Beach, CA • On-site

Full-time

Re-posted 4 days ago

Job description

Role: Data Quality Analyst
Location: Newport Beach, CA
Duration: 12 Months
Top Three Skills:
3+ years of experience as an ETL QA focused on data quality, data validation, and running query optimization/performance tuning
Experience with Informatica ETL tools for back end data validation
Experience overseeing data integrity across multiple client facing applications (preferably in banking/financial services)
Job Description:
We are seeking a Data Analyst to work on the projects focusing on the development of PIMCO's data quality program, central to the analytics of the organization in providing excellence to our clients. The candidate should demonstrate an advanced level of understanding of data quality, data architecture, data processing, and RDBMS systems. Candidate should be able to lead the data quality program, develop the testing plans, implement the test cases, monitor for data anomalies, escalate and follow up on data issues.
Primary responsibilities will include:
• Responsible for ensuring the data integrity levels of various client facing applications
• Provide a high level of data quality awareness across multiple teams
• Report development and analysis in order to find defects and propose improvements
• Work with data strategy, communications, and operations teams to drive advanced data quality governance program
• Bring a curious and inquisitive approach to solving complex data quality challenges
• Drive execution and provide automation improvements to drive efficiency
• Support development of organizational data quality to drive meaningful analytics
• Designs, develops, and analyzes the results of data queries necessary to identify data quality issues and presents results in an easy-to-understand format to end users
• Works with business stakeholders to gather requirements, conduct data profiling and track metrics necessary to monitor data quality
• Perform regression testing at critical junctions to ensure preservation of existing data integrity
• Root cause analysis
• Dataset and data process quality control
• Ensure that the highest level of system and data confidentiality, integrity and data availability is maintained
• Solves complex problems and develops innovative solutions
• Provides recommendations and plans for improvement
• Executes, maintains, and reviews data QC processes benchmarking against industry best practices
Position Requirements
• 3+ years' experience in a data quality focused role
• Extremely meticulous in approach to work
• Outstanding attention to detail
• Experienced in query optimization and performance tuning for OLTP and Date Warehouse
• Knowledge of Data Architecture (conceptual, logical, physical, transactional, dimensional, and Star/Snowflake modeling)
• Excellent interpersonal and communication skills are essential
• Ability to write technical documentation materials
• Experience in banking or financial services preferred
• Working Python knowledge is a plus

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