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Data Validator Jobs (NOW HIRING)

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Perform data validation, quality checks, and reconciliation * Write SQL queries to extract and analyze healthcare data * Support KPI tracking, trend analysis, and recurring performance reports

Select Minds LLC

Data Quality Engineer

Dallas, TX

$62 - $65/hr

Validate data pipelines for accuracy, completeness, consistency, and timeliness * Build SQL-based validations for business rules and transformations * Implement reconciliation between source and ...

AaraTechnologies Inc

DATA ANALYST

Washington, DC · On-site

Perform data validation, quality checks, and reconciliation * Write SQL queries to extract and analyze healthcare data * Support KPI tracking, trend analysis, and recurring performance reports

AaraTechnologies Inc

DATA ANALYST

Kansas City, MO · On-site

Perform data validation, quality checks, and reconciliation * Write SQL queries to extract and analyze healthcare data * Support KPI tracking, trend analysis, and recurring performance reports

Curant Health

Data Quality Analyst

Smyrna, GA · On-site

Validate data accuracy, completeness, consistency, and timeliness across multiple systems * Perform data reconciliation and identify discrepancies across upstream and downstream sources * Analyze ...

MFour Data Research

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

They are seeking a Senior Data Engineer to own the technical core of their consumer-data pipeline ... Delivering validated consumer intelligence that brands can trust. Founded in 2001, the company is ...

staffit solutions

Data Analyst

Saint Louis, MO

Helps with data validation and testing approach, systems testing, and provides post production support to the data quality processes. Provide training, resolve questions, and give direction to less ...

Ignite IT

Data Engineering Lead

Suitland, MD

Data validation logic * Modular data engineering frameworks Data Accuracy, Validation & Visibility * Design and implement automated data validation frameworks to ensure: * Functional equivalence ...

Ignite IT

Data Engineering Lead

Suitland, MD · On-site

Data validation logic * Modular data engineering frameworks Data Accuracy, Validation & Visibility * Design and implement automated data validation frameworks to ensure: * Functional equivalence ...

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Data Validator information

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How much do data validator jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data validator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the work of data validation?

A data validator reviews and checks data for accuracy, consistency, and completeness to ensure it meets specified standards. This process often involves using tools like spreadsheets or data validation software and requires attention to detail to prevent errors in data entry or processing.

What qualifications do I need to be a data analyst?

To become a data analyst, you typically need a bachelor's degree in fields like statistics, mathematics, computer science, or related areas. Proficiency in data analysis tools such as Excel, SQL, and statistical software, along with strong analytical and problem-solving skills, is essential. Certifications like the Microsoft Certified Data Analyst Associate or Google Data Analytics Professional Certificate can enhance job prospects.

How much does a validation specialist make in the US?

A validation specialist in the US typically earns between $50,000 and $80,000 annually, depending on experience, industry, and location. The role often requires attention to detail, knowledge of validation processes, and familiarity with regulatory standards such as GMP or ISO.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications. Overall, it is considered a well-paying role within the data field.

What are the key skills and qualifications needed to thrive in the Data Validator position, and why are they important?

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 job?

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.

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Data Validator jobs near you

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted 18 hours ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.