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Data Validator Jobs in Dallas, TX (NOW HIRING)

Data Analyst

Arlington, TX · On-site

$65 - $75/hr

Clean, transform, validate, and integrate structured and unstructured data sources. * Build and maintain data models to support entity resolution and record linking initiatives. * Perform statistical ...

... validation and reconciliation strategies for large-scale data migrations, including parallel-run frameworks and tolerance models. - Direct an enablement team building accelerators, reusable ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Implement data validation, reconciliation, and quality checks throughout the data lifecycle. * Ensure appropriate data security, privacy, governance, and compliance practices are followed ...

To be eligible for this role, you must have US Citizenship or valid US work authorization.Role summary We are looking for an experienced Technical Data Analyst with a strong background in data ...

To be eligible for this role, you must have US Citizenship or valid US work authorization. Role summary We are looking for an experienced Technical Data Analyst with a strong background in data ...

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... validation, presentation, and measurement of impact. • Represent your analysis to business ...

Data Engineer

Lewisville, TX · On-site

$106K - $128K/yr

Support data validation, troubleshooting efforts, and documentation of data governance best practices. * Stakeholder Support: Collaborate with analytics teams to deliver clean datasets for reporting ...

... validating, reconciling, and reporting regulated research data from protocol development through database lock and final reporting suitable for client submission to the FDA. The role serves as the ...

... validating, reconciling, and reporting regulated research data from protocol development through database lock and final reporting suitable for client submission to the FDA. The role serves as the ...

Sr Data tester- MDM Domain

Dallas, TX · On-site

$79K - $100K/yr

Essential for querying, analyzing, and validating data within relational databases. * ETL testing experience: Familiarity with ETL processes and tools is crucial for testing data integration ...

Showing results 21-40

Data Validator information

See Dallas, TX salary details

$42.5K

$152.3K

$224.7K

How much do data validator jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data validator in Dallas, TX is $152,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,200.00 and $156,900.00 per year, depending on experience, location, and employer.

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 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.

How do I become a data validator?

To become a data validator, you typically need a high school diploma or equivalent, along with strong attention to detail and analytical skills. Gaining experience with data management tools, spreadsheets, and database software can be helpful, and some roles may require a bachelor's degree in a related field such as information technology or computer science. Certifications in data quality or validation can also enhance your qualifications.

What cities near Dallas, TX are hiring for Data Validator jobs?

Cities near Dallas, TX with the most Data Validator job openings:

Infographic showing various Data Validator job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $163,936 per year, or $78.8 per hour.

$65 - $75/hr

Other

Medical, Dental, Vision

Posted 5 days ago


Job description

Location: Arlington, TX Salary: $65.00 USD Hourly - $75.00 USD Hourly Description:
About the Role
We are seeking a data-focused professional with strong experience in data engineering, analytics, and business process support. This role is responsible for transforming complex and unstructured data into actionable insights, building scalable data pipelines, supporting dashboard development, and collaborating with technical and business stakeholders to improve decision-making. The ideal candidate will have expertise in Python, AWS, SQL, data integration, and modern analytics platforms.
Key Responsibilities
  • Develop, maintain, and optimize end-to-end data processing and integration workflows.
  • Design and implement deterministic ETL pipelines using Python and cloud technologies.
  • Clean, transform, validate, and integrate structured and unstructured data sources.
  • Build and maintain data models to support entity resolution and record linking initiatives.
  • Perform statistical analysis and predictive data assessments to support business decisions.
  • Develop dashboards and analytical reports using Tableau and related reporting tools.
  • Utilize AWS services such as S3, Lambda, and boto3 for data processing and automation.
  • Collaborate with data scientists, software developers, and business stakeholders to define requirements and desired outcomes.
  • Support API development and integration efforts using frameworks such as FastAPI.
  • Maintain data quality, data governance, and system accuracy standards.
  • Track project progress, supplier deliverables, and operational metrics.
  • Support leadership reporting, issue resolution, and continuous process improvement initiatives.
Must-Have Qualifications
  • Strong Python (3.10+) development experience in production environments.
  • Experience building ETL pipelines, automation workflows, and data validation processes.
  • Hands-on experience with AWS services including S3, Lambda, and boto3.
  • Strong SQL development skills.
  • Experience with data cleaning, transformation, and integration.
  • Experience processing and extracting data from documents and unstructured sources.
  • Data modeling experience, including entity linking, key design, and dataset integration.
  • Experience with Tableau dashboard development and reporting.
  • Experience working with Databricks.
  • Experience developing APIs using FastAPI or similar frameworks.
  • Ability to work cross-functionally with business and technical teams.
Nice-to-Have Qualifications
  • React or other frontend development experience.
  • API integration experience.
  • Experience creating stored procedures.
  • Experience with Tableau Prep and/or Alteryx.
  • Experience with SSO implementation and authentication integrations.
  • Exposure to supply chain management systems and sourcing processes.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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