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Data Validator Jobs in California (NOW HIRING)

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable. Responsibilities : • Validate ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring that operational data is accurate and actionable. Responsibilities : • Validate ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Validate mission datasets generated by deployed robots. * Perform completeness, schema, and integrity checks on field data. * Identify corrupted, incomplete, or anomalous datasets. * Support QA ...

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Validate mission datasets generated by deployed robots. * Perform completeness, schema, and integrity checks on field data. * Identify corrupted, incomplete, or anomalous datasets. * Support QA ...

QUANTUM TECHNOLOGIES LLC

Data Analyst

San Jose, CA · On-site

$80/hr

Support data validation, troubleshooting, and root cause analysis. * Work with AWS services such as S3, Glue, and Athena to support data solutions. Required: * Strong proficiency in SQL for data ...

New

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Validate mission datasets generated by deployed robots. * Perform completeness, schema, and integrity checks on field data. * Identify corrupted, incomplete, or anomalous datasets. * Support QA ...

1 point system

Data Analyst

Irvine, CA · On-site

Support ad-hoc reporting and data validation tasks. Required Skills * Strong critical thinking and problem-solving mindset. * Hands-on experience with Python and/or SQL (ideally both). * Solid ...

Info Way Solutions

Data engineer

Fremont, CA · On-site

$125K - $151K/yr

... validation, error handling, and data quality checks. • Optimize query performance through continuous tuning of databases and leveraging AWS's scalability capabilities. • Establish robust ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Hands-on experience in all aspects of data management activities involving large data sets(e.g., data gathering and profiling, data analysis, test data creation, data validation, and issue resolution)

IT CURA Inc.

Data Analyst

Pasadena, CA

Hands-on experience in all aspects of data management activities involving large data sets(e.g., data gathering and profiling, data analysis, test data creation, data validation, and issue resolution)

CYNET SYSTEMS

Big Data / ETL Tester

Woodland Hills, CA · On-site

$45 - $50/hr

Experience validating data across multiple data sources and formats. * Knowledge of data pipelines, transformations, and ETL workflows. * Exposure to API testing / data ingestion validation.

ERM

Data Specialist (Field Based)

San Francisco, CA · On-site

... validation, QA/QC checks, and assist in process improvement activities. • Support dashboard development in Power BI or Tableau, including data preparation and basic DAX or Power Query ...

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Showing results 21-40

All JobsData Validator JobsData Validator Jobs in California

Data Validator information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data validator jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data validator in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a data validator?

To thrive as a Data Validator, you need strong attention to detail, analytical skills, and experience working with large datasets, often supported by a degree in information technology, mathematics, or a related field. Familiarity with data validation tools, database systems (like SQL), Excel, and sometimes industry-standard certifications such as CDMP (Certified Data Management Professional) can be advantageous. Excellent communication, problem-solving abilities, and the capacity to work independently or as part of a team are valuable soft skills. These competencies ensure accuracy, integrity, and reliability in data, which are critical for decision-making and business operations.

What challenges might I face as a data validator, and how can I overcome them?

As a Data Validator, you may encounter challenges like identifying subtle inconsistencies in large datasets, managing tight deadlines for data verification, and adapting to multiple data sources or formats. To overcome these hurdles, it’s important to develop strong troubleshooting skills, stay organized, and leverage automated validation tools whenever possible. Collaborating closely with data engineers and business analysts can also help clarify data requirements and resolve ambiguities. Building a thorough understanding of data processes within your organization will further equip you to handle these challenges effectively and efficiently.

What is a data validator?

A Data Validator is responsible for ensuring the accuracy, consistency, and integrity of data within a system or dataset. They review, clean, and verify data to identify errors, inconsistencies, or missing information. This role is essential in industries that rely on high-quality data for decision-making, such as finance, healthcare, and research. Data Validators use various tools and techniques to cross-check and validate data against predefined standards or business rules. Their work helps maintain data reliability, improves efficiency, and supports better decision-making across an organization.

What are the most commonly searched types of Data Validator jobs in California?

The most popular types of Data Validator jobs in California are:

What are popular job titles related to Data Validator jobs in California?

For Data Validator jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Validator jobs in California look for?

The top searched job categories for Data Validator jobs in California are:

Data Validator jobs near you
Infographic showing various Data Validator job openings in California as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Field Data Analyst

FieldAI

Irvine, CA • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world by building risk-aware AI systems. The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable.
Responsibilities:
• Validate mission datasets generated by deployed robots.
• Perform completeness, schema, and integrity checks on field data.
• Identify corrupted, incomplete, or anomalous datasets.
• Support QA processes before datasets are used for analysis or reporting.
• Analyze operational logs and mission data to identify trends or anomalies.
• Investigate system behavior using telemetry and mission outputs.
• Support root-cause analysis by extracting insights from field datasets.
• Generate clear performance reports and summaries for customers.
• Translate technical data into understandable insights.
• Support periodic reporting on autonomy performance and system behavior.
• Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
• Assist in identifying recurring operational problems from data.
• Provide validated datasets to engineering teams for debugging.
• Improve internal data validation workflows.
• Support development of automated checks and dashboards.
• Maintain documentation of datasets, reporting templates, and QA procedures.
Qualifications:
Required:
• Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, or related field
• Strong analytical skills with ability to work with messy operational datasets
• Proficiency in Python, SQL, or similar data analysis tools
• Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
• Strong problem-solving ability and attention to detail
Preferred:
• Experience working with robotics, autonomy systems, IoT, or sensor data
• Familiarity with time-series data, logs, or telemetry
• Experience with data pipelines or ETL workflows
• Experience generating reports for external stakeholders
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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