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Data Quality Assurance Engineer Jobs in California

Vertex Sigma Software

QA Engineer

Foster City, CA · On-site

QA Engineer Onsite in Foster City, CA 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

Vertex Sigma Software

QA Engineer

Foster City, CA · On-site

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

Vertex Sigma Software

QA Engineer

Foster City, CA · On-site

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

Prosum Inc.

QA Engineer

Glendale, CA · On-site

$42 - $57/hr

QA Engineer Pay Range: $42/hour to $57/hourPosition Overview We are seeking an experienced QA ... Develop risk-based test coverage across UI, API, integration, and data validation. * Establish ...

MarginPoint

Quality Assurance Engineer

Laguna Hills, CA · On-site

$90 - $120/hr

The QA Engineer needs to be intimately familiar with Microsoft technologies and have had previous ... Net Web Services. * 2+ year of SQL with data validation experience. * 2+ years of experience with ...

Netpace Inc

QA Engineer

Pleasanton, CA · On-site

Job Summary : Netpace Inc is a company seeking a QA Engineer to ensure the quality of their ... Netpace is a Data-Driven company excelling in AI, IT Consulting and Staffing Solutions. Founded in ...

Mizuho OSI

Quality Assurance Engineer

Union City, CA · On-site

The QA Engineer position supports Mizuho OSI in achieving established goals and objectives and ... Develop quality data management tools, applicable compliance performance metrics (KPIs) and ...

Group Nine LLC

QA Engineer

La Jolla, CA · On-site

Group Nine LLC is seeking a QA Engineer to ensure that internal and external customers ... data validation functional and system service testing • Database knowledge: database structures ...

Sanmina

QA Engineer

San Jose, CA · On-site

$80K - $90K/yr

Sanmina is seeking a Quality Assurance Engineer with 2+ years of experience in electronics ... Analyzed production and quality data to identify trends, process variations, and opportunities for ...

Mizuho OSI

Quality Assurance Engineer

Union City, CA · On-site

The QA Engineer position supports Mizuho OSI in achieving established goals and objectives and ... Develop quality data management tools, applicable compliance performance metrics (KPIs) and ...

Mizuhosi

Quality Assurance Engineer

Union City, CA · On-site

$136 - $156/hr

The QA Engineer position supports Mizuho OSI in achieving established goals and objectives and ... Develop quality data management tools, applicable compliance performance metrics (KPIs) and ...

Mizuho OSI

Quality Assurance Engineer

Union City, CA · On-site

The QA Engineer position supports Mizuho OSI in achieving established goals and objectives and ... Develop quality data management tools, applicable compliance performance metrics (KPIs) and ...

InterSources Inc

QA Engineer

San Jose, CA · On-site

They are seeking a QA Engineer to conduct testing and automation using tools like Selenium and ... data structures and algorithms • Test experience in Java, PostgreSQL, PL/SQL, SOAP / REST • ...

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Data Quality Assurance Engineer information

What does a data quality assurance engineer do?

A Data Quality Assurance Engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They design and implement tests, validation processes, and quality checks to identify and resolve data errors or inconsistencies. Their work helps maintain high-quality data standards, which is crucial for informed decision-making and effective business operations. Additionally, they collaborate with data engineers and analysts to establish data quality metrics and best practices.

What are the key skills and qualifications needed to thrive as a data quality assurance engineer?

To thrive as a Data Quality Assurance Engineer, you need strong analytical skills, attention to detail, and a background in computer science or a related field. Familiarity with SQL, data profiling tools, automation frameworks, and certifications like ISTQB are commonly required. Excellent problem-solving, communication, and collaboration skills set top performers apart in this role. These competencies are vital for ensuring data integrity, driving process improvements, and supporting business decision-making with reliable information.

What are some common challenges faced by data quality assurance engineers when working with large datasets?

Data Quality Assurance Engineers often encounter challenges such as data inconsistency, incomplete records, and discrepancies across multiple data sources when handling large datasets. Ensuring data integrity requires meticulous validation and a strong understanding of both automated and manual testing techniques. Collaboration with data engineers, analysts, and business stakeholders is essential to identify root causes of quality issues and to implement effective solutions. Staying adaptable and detail-oriented helps address evolving data requirements and maintain high standards of data accuracy.

What is the difference between Data Quality Assurance Engineer vs Data Analyst?

AspectData Quality Assurance EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and quality through testing and validation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsKnowledge of data testing tools, SQL, data management, and quality standardsProficiency in data analysis tools, SQL, Excel, and visualization software
Work EnvironmentOften part of data engineering or QA teams within IT or data departmentsTypically within business intelligence, marketing, or analytics teams

While both roles work with data, the Data Quality Assurance Engineer focuses on validating and maintaining data quality, whereas the Data Analyst interprets data to provide insights. They often collaborate but serve different functions in data management and analysis processes.

Is a Data Quality Assurance Engineer still in demand?

Yes, Data Quality Assurance Engineers are in demand due to the increasing importance of accurate and reliable data in organizations. They are needed to develop testing processes, validate data integrity, and work with tools like SQL and data management platforms, often requiring certifications or experience in data governance. The role is expected to grow as data-driven decision-making becomes more critical across industries.

What are popular job titles related to Data Quality Assurance Engineer jobs in California?

For Data Quality Assurance Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Quality Assurance Engineer jobs in California look for?

The top searched job categories for Data Quality Assurance Engineer jobs in California are:

What cities in California are hiring for Data Quality Assurance Engineer jobs?

Cities in California with the most Data Quality Assurance Engineer job openings:

Data Quality Assurance Engineer jobs near you
Infographic showing various Data Quality Assurance Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 5% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

QA Engineer

Vertex Sigma Software

Foster City, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

QA Engineer
Onsite in Foster City, CA 5 days in office
The Quality Assurance team is actively seeking a Quality Assurance Engineer to help ensure that our backend services are optimized, secure, and offer the highest level of reliability for our autonomous fleet management systems.
Our robots carry out critical missions such as rideshare trips, charging, cleaning and also provide rider interactions like authentication, ingress, and egress. The efficient performance of these tasks directly depends on the robustness of our backend infrastructure. As a QA Engineer, you will play an instrumental role in securing the high-quality operation of our systems, affecting the riders' experience and the overall efficiency of our autonomous fleet management.
Responsibilities
Design and implement test plans and procedures for our backend services, which include ride hailing, autonomous charging, cleaning, fleet monitoring and coordination applications
Validate and verify the functionality and efficiency of APIs, services and data models intended for use by rider mobile apps, robots and fleet management tools, and support the integration of these clients.Test the vehicle agent component that bridges communication between vehicle components and the backend service to ensure the communication is efficient and robust
Develop and execute automated test scripts that simulate multi-agent coordination, resource allocation, planning, and optimization workflows for a fleet of autonomous vehicles
Work closely with the development team to ensure that the backend systems are scalable, observable and fault tolerant
Lead independent activities such as ZPT triage, root cause analysis, release testing and process improvement, and contribute to developing products that impact humans and their experience in autonomous vehicle ride
Qualifications:
Bachelor's degree in an engineering, math, or related field
3+ years of experience in quality assurance
Experience with Python
Experience writing scripts that exercise workflows
Experience with APIs
Understanding API documentation and specifications
Experience analyzing backend logs for triaging issues and inclusion in bug reports
Able to lead independent activities such as root cause analysis, process improvement, etc.
Bonus Qualifications:
Familiarity with Kubernetes, Docker, Java, Kotlin
Masters degree in computer science or related degree
Experience with customer-facing application experience
Experience handling large data sets
Benefits
Health Care Plan (Medical, Dental & Vision)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Training & Development
Retirement Plan (401k, IRA)
Free breakfast and lunch

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