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Data Tester Jobs (NOW HIRING)

Long Finch Technologies

Data Science Tester

Newell, NC · On-site

We are looking for an experienced Data Science Tester / Analytics Specialist to validate enterprise analytics solutions and ensure data accuracy, reliability, and meaningful insights. The ideal ...

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Collabera

Bigdata (Hadoop) Tester

Plano, TX

Senior BIG DATA (Hadoop) Tester We are looking to hire for a Senior Big Data Tester (Hadoop/HDFS) with 6+ years of experience in information technology with an emphasis on software quality assurance ...

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How much do data tester jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What is a data tester?

A Data Tester is responsible for validating and ensuring the accuracy, quality, and integrity of data in databases, reports, or data-driven applications. They design and execute test cases, identify data anomalies, and work closely with data engineers and analysts to resolve issues. Their role ensures that data used for decision-making is accurate, consistent, and reliable.

What are the main challenges data testers typically face in their daily work?

Data Testers often encounter challenges related to dealing with large, complex datasets where inconsistencies or errors can be difficult to identify. They are also tasked with verifying data across multiple sources or migration systems, which requires a keen understanding of both business logic and data architecture. Close collaboration with data engineers, developers, and business analysts is common to resolve issues or clarify data requirements. Staying updated with evolving tools and methodologies is essential, so adaptability and continuous learning are important for long-term success in this role.

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

To thrive as a Data Tester, you need a solid understanding of data validation, quality assurance processes, and proficiency in querying databases using languages like SQL, often backed by a degree in computer science or related fields. Familiarity with data testing tools such as Apache JMeter, Postman, or specific ETL testing frameworks, and certifications in software testing or data analytics are frequently required. Attention to detail, analytical thinking, and strong problem-solving skills are crucial soft skills for this role. These capabilities ensure the accuracy and reliability of data systems, directly supporting organizational decision-making and operational effectiveness.

How to be a data tester?

To become a data tester, you should develop strong analytical skills, proficiency in data analysis tools like Excel or SQL, and attention to detail. Gaining experience with data validation, testing methodologies, and understanding data quality standards can improve your effectiveness in the role. Certifications in data analysis or testing can also enhance your qualifications.
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Infographic showing various Data Tester job openings in the United States as of August 2026, with employment types broken down into 30% Full Time, and 70% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

Data Science Tester

Long Finch Technologies

Mount Holly, NC • On-site

Full-time

Posted 2 days ago

New

Job description

We are looking for an experienced Data Science Tester / Analytics Specialist to validate enterprise analytics solutions and ensure data accuracy, reliability, and meaningful insights. The ideal candidate will have strong expertise in SQL, MongoDB, Power BI, and statistical analysis with experience testing and validating complex data models and metrics.

Key Responsibilities
  • Validate analytics metrics and dashboards across Oracle SQL, MongoDB, and Power BI.
  • Perform data reconciliation, quality checks, and analytical validation.
  • Write advanced SQL queries using joins, CTEs, and window functions.
  • Validate Power BI data models, DAX calculations, refresh processes, and reports.
  • Analyze trends, anomalies, data distributions, and reporting accuracy.
  • Collaborate with data engineers, BI developers, and business teams to improve metric reliability.
  • Document findings, assumptions, and analytical recommendations.
Required Skills
  • 10+ years of experience in data analytics, data testing, or BI validation.
  • Strong SQL skills (Oracle preferred).
  • Hands-on experience with MongoDB and aggregation pipelines.
  • Strong Power BI knowledge including data modeling and DAX.
  • Understanding of statistical analysis, data quality, and analytics validation.
  • Experience with Agile/Scrum and tools like Jira.
  • Excellent communication skills.
Preferred Skills
  • Experience with enterprise analytics platforms and software engineering metrics.
  • Knowledge of BI semantic modeling (Star/Snowflake schema).
  • Python scripting for data analysis and automation.
  • Exposure to tools like Jenkins, SonarQube, or Ansible Tower.

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