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Senior Qa Data Engineer Jobs in California (NOW HIRING)

FieldAI

Product QA & Data Engineer

Irvine, CA

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive quality assurance and manage data delivery for our construction intelligence platform. In this dual ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive quality assurance and manage data delivery for our construction intelligence platform. In this dual ...

FieldAI

Product QA & Data Engineer

Irvine, CA

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive quality assurance and manage data delivery for our construction intelligence platform. In this dual ...

Vitesse Systems a Lyntris Company

$84 - $110/hr

Senior Quality Assurance Engineer Full Time Technical Harbor City, CA, Harbor City, CA, US 3 days ... The regulations require that such data not be disclosed in written, oral, or visual form to any ...

SA Technologies Inc.

Sr. QA engineer

Santa Clara, CA · On-site

Position: Sr. QA engineer Location: Santa Clara, CA Duration: 6 Months+ Rate:Open PRINCIPAL DUTIES ... Experience in Big Data application Red Hat - security updates In depth knowledge of Linux ...

Cerebras

Senior Quality Assurance Engineer

Sunnyvale, CA · On-site

$220 - $240/hr

Perform system, API, and data validation testing using SQL, Oracle/RDBMS, and REST API tools to ... Sr. Software QA Engineer, Senior Quality Assurance Engineer or a related occupation required.

Quality Ai

Sr QA Engineer (Automation)

San Diego, CA · On-site

$80 - $85/hr

Sr QA Engineer (Automation) Are you interested in working with the World's leading AI-first Quality ... Operating across data, models, platforms, infrastructure, and operational environments, the company ...

Artech, LLC

Senior QA Manager

San Jose, CA · On-site

Senior QA Manager Direct Hire Location: San Jose, CA Employment Type: Direct Hire / Full-Time We ... Partner closely with engineering and cross-functional teams to drive product quality Qualifications ...

Renesas Electronics

Sr. QA Engineer

Los Angeles, CA · On-site

$150K - $175K/yr

The Senior QA Engineer on the Duro Design team defines, builds, and scales the quality systems that ... Validate React interfaces, GraphQL APIs, and PostgreSQL data integrity to ensure system-wide ...

Hired Recruiters

Senior QA Engineer

Los Altos, CA · On-site

As the Senior QA Engineer , you will * Support testing of multiple features and drive the quality ... data for test reporting * Troubleshoot, triage and provide detailed debug information for ...

Renesas Electronics

Sr. QA Engineer

Los Angeles, CA · Hybrid

$150K - $175K/yr

The Senior QA Engineer on the Duro Design team defines, builds, and scales the quality systems that ... Validate React interfaces, GraphQL APIs, and PostgreSQL data integrity to ensure system-wide ...

SA Technologies Inc.

Senior QA Engineer

Santa Clara, CA · On-site

Senior QA Engineer Location: Santa Clara, CA Duration: 6 Months Key Responsibilities Work closely with Security Development and QA teams Develops solutions to complex problems. Exercises considerable ...

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Senior Qa Data Engineer information

What is a senior QA data engineer?

Senior QA Data Engineers are experienced professionals responsible for ensuring the quality and reliability of data systems, pipelines, and products. They design and implement testing strategies, develop automated tests, and work closely with data engineers and analysts to validate data integrity and performance. Their expertise helps organizations maintain high data quality standards, prevent errors, and support informed decision-making by ensuring that data is accurate, consistent, and secure.

How does a senior QA data engineer typically collaborate with data engineering and analytics teams?

As a Senior QA Data Engineer, collaboration with data engineering and analytics teams is essential to ensure data quality across the pipeline. You’ll often work closely with data engineers to design and implement testing frameworks, validate ETL processes, and troubleshoot data issues. Regular interactions with analytics teams help you understand business requirements and ensure that data delivered for analysis is accurate and reliable. This collaborative environment supports continuous improvement, efficient problem-solving, and alignment of data quality standards with organizational goals.

What are the key skills and qualifications needed to thrive as a senior QA data engineer, and why are they important?

To thrive as a Senior QA Data Engineer, you need expertise in data validation, test automation, SQL, and a strong background in computer science or a related field. Experience with tools like Selenium, Apache Spark, Python, and test management systems, as well as certifications such as ISTQB, are highly valued. Attention to detail, analytical thinking, and effective communication are crucial soft skills for collaborating with data and engineering teams. These abilities ensure the reliability, accuracy, and quality of data pipelines and analytics, which are vital for informed business decisions.

What are popular job titles related to Senior Qa Data Engineer jobs in California?

For Senior Qa Data Engineer jobs in California, the most frequently searched job titles are:

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Cities in California with the most Senior Qa Data Engineer job openings:

Senior Qa Data Engineer jobs near you
Infographic showing various Senior Qa Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Product QA & Data Engineer

FieldAI

Irvine, CA

Full-time

Re-posted 10 days ago

Job description


Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive quality assurance and manage data delivery for our construction intelligence platform. In this dual-function role, you will be instrumental in ensuring the reliability of our software releases and the accuracy of the spatial data products delivered to our customers.

Operating as the definitive quality checkpoint, you will establish rigorous testing protocols for our application while taking ownership of the final data outputs. This role requires a blend of rigorous manual testing, the development of automated testing workflows, and the meticulous verification of complex 3D scan and BIM data.

What You Will Do:

  • Own quality assurance for all software releases, serving as the final gate to ensure robust performance and mitigate regressions prior to deployment.

  • Conduct comprehensive manual testing and engineer automated testing frameworks to consistently validate complex UI workflows and software functionality.

  • Identify, meticulously document, and triage software defects in issue-tracking systems (e.g., Jira), providing engineering teams with reproducible test cases and precise context.

  • Develop lightweight scripts and automation tools to streamline testing pipelines, optimize QA workflows, and enhance release consistency.

  • Establish and enforce rigorous standards for software reliability, performance, and user experience.

  • Own the end-to-end data quality and delivery process, ensuring all platform outputs meet strict accuracy and formatting standards before customer handoff.

  • Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and architectural model comparisons within the platform.

  • Collaborate closely with engineering and data teams to resolve data-related anomalies, debug processing errors, and continuously improve data delivery pipelines.

What You Bring:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline, with 2+ years of professional experience in software QA, test engineering, or data validation.

  • Demonstrated experience testing, troubleshooting, and validating complex software systems or data processing pipelines.

  • Hands-on proficiency with UI/UX automation and testing tools (e.g., TestComplete, Selenium, PostHog).

  • Exceptional organizational skills with a highly systematic approach to defect tracking, root-cause analysis, and technical documentation.

  • A strong sense of accountability and the professional confidence to uphold quality standards, including delaying software releases or data deliveries if criteria are unmet.

  • Excellent analytical and communication skills to effectively bridge the gap between technical teams and product requirements.

What Sets You Apart:

  • Industry experience or domain knowledge in construction technology, civil engineering, surveying, or industrial mapping.

  • Working knowledge of 3D point cloud data, spatial data formats, and Building Information Modeling (BIM).

  • Familiarity with foundational software development languages (e.g., JavaScript, HTML, CSS) to facilitate deeper technical troubleshooting and defect localization.

  • Applied scripting capabilities (e.g., Python, Bash) utilized to automate backend testing, data processing, or deployment workflows.

  • A proven track record of successfully integrating automated testing suites into CI/CD pipelines.

Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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