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Data Validation Engineer Jobs in California (NOW HIRING)

Validation Engineer

Irvine, CA ยท On-site

$55/hr

W2 We are looking for QA / Validation Engineers to support validation systems, integrations, and data migration in a GxP-regulated environment. Required Qualifications: * 3-5+ years of experience in ...

Validation Engineer

Roseville, CA ยท On-site

$65 - $100/hr

Description Data Center Solutions Business Unit (DCS) delivers industry leading performance ... A validation engineer develops a comprehensive test plan by utilizing design specifications ...

This posting is for an existing vacancy Description Microchip's Data Center Solutions Business Unit ... A validation engineer develops a comprehensive test plan by utilizing design specifications ...

Description Data Center Solutions Business Unit (DCS) delivers industry leading performance ... A validation engineer develops a comprehensive test plan by utilizing design specifications ...

Validation Engineer

Roseville, CA ยท On-site

$65 - $100/hr

This posting is for an existing vacancy Description Microchip's Data Center Solutions Business Unit ... A validation engineer develops a comprehensive test plan by utilizing design specifications ...

Description Data Center Solutions Business Unit (DCS) delivers industry leading performance ... A validation engineer develops a comprehensive test plan by utilizing design specifications ...

This posting is for an existing vacancy Description Microchip's Data Center Solutions Business Unit ... A validation engineer develops a comprehensive test plan by utilizing design specifications ...

Validation Engineer

Irvine, CA ยท On-site

$48/hr

Validation Engineer Location: San Clemente, CA (Onsite) Type: Contract Pay Rate: $48/hr on W2 (All ... Supports validation readiness for enterprise systems, integrations, data migration, and database ...

Validation Engineer

Los Angeles, CA ยท On-site

$115K/yr

We are currently looking for a Validation Engineer to work for a leading Greater Los Angeles area ... Competence in using data analysis tools and MS Office applications to track and report validation ...

Validation Engineer

Carlsbad, CA ยท On-site

$48/hr

Validation Engineer - Carlsbad, CA Location : Carlsbad, CA 92008 (On-site) Project Duration: 06 ... Works on problems of moderate scope where analysis of situations or data requires a review of ...

Excellent employment opportunity for a Validation Engineer in the Fremont, CA area. * Manage and ... Data Integrity gap assessments/data process maps; Review qualification/validation packages

We're looking for a Validation Engineer to support the development and validation of advanced ... Exposure to data analysis tools or test reporting processes * Interest in helping build reliable ...

Analyze test data and prepare detailed reports to support product development and validation processes * Collaborate with hardware engineering teams to troubleshoot and resolve thermal-related issues

Strong understanding of data communications and digital design concepts. * Proficiency in: * Python and/or Tcl/Tk scripting * C/C++ programming * Experience developing test plans, validation software ...

As a Electronics Validation Engineer, you will be part of the Electronics Test and Validation ... Experience with scripting and data analysis using Python. What's in it for me? * Opportunity to ...

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Data Validation Engineer information

What is a data validation engineer?

Data Validation Engineers are professionals responsible for ensuring the accuracy, quality, and integrity of data within software systems or databases. They design and implement tests, validation protocols, and automated processes to verify that data meets specified requirements and is free from errors. Data Validation Engineers often work closely with data engineers, analysts, and developers to identify inconsistencies, troubleshoot issues, and maintain reliable datasets crucial for business operations and decision-making.

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

To thrive as a Data Validation Engineer, you need strong analytical skills, a background in computer science or engineering, and experience with data quality assurance methodologies. Familiarity with database management systems, data validation tools (like Talend or Informatica), and scripting languages such as Python or SQL is typically required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills in this role. These competencies are essential for ensuring data integrity, minimizing errors, and supporting reliable business decision-making.

What are the typical challenges faced by data validation engineers when working with large and complex datasets?

Data Validation Engineers often encounter challenges such as handling inconsistent data formats, ensuring data integrity across multiple sources, and managing large-scale datasets efficiently. Identifying subtle data anomalies and implementing robust automated validation scripts can be difficult, especially when data is unstructured or rapidly changing. Collaboration with data engineers, analysts, and quality assurance teams is essential to develop effective validation strategies and maintain high data quality standards throughout the data pipeline.

What is the difference between Data Validation Engineer vs Data Analyst?

AspectData Validation EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and validation processesAnalyzing data to identify trends and generate reports
Skills & CertificationsData validation tools, SQL, scripting, quality assuranceData analysis, visualization, statistical skills, Excel, SQL
Work EnvironmentData warehouses, ETL pipelines, quality assurance teamsBusiness units, reporting teams, data-driven departments
Industry UsageTech, finance, healthcare, where data quality is criticalMarketing, finance, consulting, where insights drive decisions

While both roles work with data, Data Validation Engineers focus on verifying data accuracy and integrity during data processing, whereas Data Analysts interpret data to provide insights and support decision-making. Understanding these differences helps organizations assign the right skills to each role.

Infographic showing various Data Validation Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Validation Engineer

Redlands, CA โ€ข On-site

$103K - $150K/yr

Full-time, Temporary

Posted 7 days ago


Job description

Temporary position approximately 3-6 months


Annual Salary range: $103,854.40 min. - $150,592.00 max


ย Reporting to the Director of Health Information Management, this temporary full-time position is responsible for validating inventory of documents historically stored in the decommissioned legacy medical record system against same documents stored in newly deployed active medical record storage system. Validation Engineer performs Master Patient Index validation, manual medical record validation, and detailed data review to confirm that patient, encounter, and clinical documentation are accurate, complete, and presented appropriately in the new system. This position works closely with Health Information Management, Information Systems, and third-party vendors to identify validation issues, document findings, track remediation, and support successful project completion within the expected three-month project scope. Strong attention to detail, Excel proficiency, data validation experience, EHR familiarity, and a clinical understanding of how medical record data should appear in the target system are required.


*Ability to meet all job & physical requirements as outlined in job description or as agreed through a work place accommodation


EDUCATION/TRAINING/ EXPERIENCE:

1. Associate in a Relevant Area required, Bachelor Degree in a Relevant Area preferred.

2. Minimum 3 year of experience implementing and supporting Healthcare Information Systems required.

3. Experience successfully leading high-visibility healthcare projects and enterprise-level initiatives required.

4. Experience documenting business and information system requirements applicable to a health care delivery organization required.

5. Experience applying project management principles, practices, techniques, and tools, including development of project plans and document project meetings and status required.

6. HL7, ANSI X12, EDI, and Interface Engine experience preferred.

7. Experience developing and presenting business analyses and plans required.


CERTIFICATIONS/LICENSES:

  1. 1. CAHIMS, CPHIMS, ITIL, CAPM, PMP Certified Associate in Healthcare Information and Management Systems (CAHIMS), Certified Professional in Healthcare Information and Management Systems (CPHIMS), IT Infrastructure Library, Certified Associate in Project Management (CAPM), Project Management Professional (PMP) preferred.