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Data Validation Jobs in Arizona (NOW HIRING)

The Sensor Validation Engineer will have experience validating high bandwidth sensors using rigorous data collection and analysis methods. This employee will work closely with the algorithm and ...

The Sensor Validation Engineer will have experience validating high bandwidth sensors using rigorous data collection and analysis methods. This employee will work closely with the algorithm and ...

Senior Solutions Data Architect

Scottsdale, AZ

$68.75 - $91.75/hr

Hands on experience in data profiling, data extraction and data validation. * Understanding of Data Science methodologies/concepts including general statistical concepts, machine learning, feature ...

Senior Solutions Data Architect

Scottsdale, AZ

$68.75 - $91.75/hr

Hands on experience in data profiling, data extraction and data validation. * Understanding of Data Science methodologies/concepts including general statistical concepts, machine learning, feature ...

Data Solutions Engineer II

Scottsdale, AZ ยท On-site +1

$115K - $138K/yr

Axon's Data and Integrations Team is seeking a Data Solutions Engineer II to design, build, and ... Design, document, and recommend integration plans, methodologies, and validation strategies ...

Experience writing complex SQL queries Ability to determine the types of testing that must be conducted (i.e., data validation, regression, etc.), including evaluating the testability of requirements ...

Perform data validation, reconciliation, and quality checks * Document reporting processes, methodologies, and controls * Assist in ad hoc analysis and special projects related to risk and data ...

Showing results 41-60

Data Validation information

See Arizona salary details

$21

$48

$72

How much do data validation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data validation in Arizona is $48.45, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $58.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What is the work of data validation?

Data validation is a key responsibility in data validation jobs, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires attention to detail, knowledge of data quality tools, and understanding of data formats to prevent errors in data processing and analysis.
What job categories do people searching Data Validation jobs in Arizona look for? The top searched job categories for Data Validation jobs in Arizona are:
What cities in Arizona are hiring for Data Validation jobs? Cities in Arizona with the most Data Validation job openings:
Infographic showing various Data Validation job openings in Arizona as of August 2026, with employment types broken down into 5% Internship, 71% Full Time, and 24% Contract. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $100,786 per year, or $48.5 per hour.

Senior Data Migration & Validation Analyst, Salesforce / SQL

Inteliblue LLC

Phoenix, AZ โ€ข On-site

$85K - $107K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Senior Data Migration & Validation Analyst Salesforce / SQL
Hybrid: Phoenix, Arizona

We are seeking a Senior Data Migration Validation Analyst to oversee the end-to-end data reconciliation and quality assurance for a complex migration pipeline moving data from a legacy Mainframe system, through a SQL staging database, and into Salesforce CRM. The ideal candidate will bridge the gap between legacy data structures and modern cloud architecture, ensuring 100% data integrity, zero record loss, and perfect relational mapping.

Required Technical Skills
  • SQL Mastery: Advanced querying skills (complex joins, CTEs, window functions, and data profiling scripts).
  • Salesforce Core: Strong understanding of Salesforce data architecture, standard/custom objects, SOQL, and data loading mechanisms.
  • Legacy Data Literacy: Familiarity with parsing fixed-width flat files, or validating EBCDIC-to-ASCII conversions.
  • Scripting/Automation: Experience using Python (Pandas) or advanced Excel/Power Query to perform automated, row-by-row cross-system file comparisons.
  • AI Exp: would be a plus
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Business Administration, or
  • related field.
  • Minimum of 5 years of experience with SQL Server, Salesforce Service Cloud and data conversion testing / validation.


Key Responsibilities:

  • End-to-End Reconciliation: Validate data at every hop of the migration pipeline (Mainframe to SQL, and SQL to Salesforce), ensuring record counts, hash totals, and financial/statistical summaries match across all environments.
  • Schema & Mapping Verification: Review Source-to-Target Mapping (STTM) documents and write complex SQL scripts to verify that data transformation logic, data types, and truncation rules are accurately implemented.
  • Salesforce Target Validation: Use SOQL, Data Loader, and Workbench to verify that relational integrity (parent-child relationships), External IDs, and object schemas are perfectly intact post-load.
  • Defect Triage: Identify, document, and track data anomalies (e.g., character encoding issues, orphaned records, null constraint violations) and collaborate with Informatica ETL and Salesforce developers to remediate them.
    Interested can send their resumes to

Inteliblue logo

About Inteliblue

Sourced by ZipRecruiter

Welcome to InteliBlue, and thank you for taking the time to visit our site! Did you know that having a Professional website can help you increase sales and expose you to thousands of new clients. So now ask yourself this question, Can I afford NOT to have a professional website? Our methodology is quite simple, We Strive to make technology work for our clients and NOT vice versa. This methodology helps guide us develop solutions that actually and practically work for our clients and hence make a direct impact on the way clients conduct their business.

Company size

11 - 50 Employees

Headquarters location

Little Rock, AR, US

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