Data QA Engineer

Staffing

This unique Data QA Engineer role involves specialized tasks beyond typical QA responsibilities, emphasizing data quality and analysis.

Last checked on September 7, 2026. We may earn a commission when you click through.

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✓ Flexible location options in Texas. ✓ Opportunity to work on unique data projects. ✓ Less routine compared to standard QA roles.

Data QA Engineer

Staffing

Updated 21 hours ago
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You'll be redirected to talent.com

Phoenix

This position is ideal for data-savvy individuals looking to step outside the conventional QA box. However, those seeking traditional QA roles may not find this suitable.

About this role

This unique Data QA Engineer role involves specialized tasks beyond typical QA responsibilities, emphasizing data quality and analysis.

About the Company

Staffing specializes in connecting talent with unique job opportunities across various industries.

Key Highlights

  • Focus on data quality assurance and analysis.
  • Opportunity to work in San Antonio, TX or Phoenix, AZ.
  • Non-standard QA responsibilities.

💡 Honest Take: The role may lack the traditional QA structure many expect, which could be a downside for those seeking a conventional path. Be prepared for a focus on data, not just testing.

Pros

  • Flexible location options in Texas.
  • Opportunity to work on unique data projects.
  • Less routine compared to standard QA roles.

Cons

  • No salary information provided.
  • May require a broader skill set than typical QA roles.
  • Potentially unclear job expectations.

Best For: Individuals with a strong analytical mindset who thrive in roles that blend data analysis with quality assurance.

Watch Out: The lack of salary transparency could indicate a negotiation challenge later on.

Apply for this position

You'll be redirected to talent.com

Expert Review

The role of Data QA Engineer of responsibilities, focusing more on data quality than traditional QA tasks. Candidates should be prepared for an environment that prioritizes data analysis and might diverge from standard QA practices. With no salary listed, applicants should enter discussions with caution, as compensation expectations may vary significantly.

This absence can create uncertainty during negotiations, making it essential for candidates to advocate for their worth upfront. the requirement for a diverse skill set may deter those who prefer clear, defined responsibilities typical of standard QA positions. This role might suit individuals seeking to expand their expertise into data-centric areas.

For more information, check the official listing at Talent.com.

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