QA Engineer - Data Analytics Team

KUBRA delivers customer communications solutions to utility, insurance, and government entities across North America, handling over 1.5 billion customer interactions annually.
Phoenix, AZ, USA
Backend
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS

Description For QA Engineer - Data Analytics Team

KUBRA, a subsidiary of Hearst, is seeking a QA Engineer to join their Data Analytics team in a hybrid role based in Tempe, AZ. The company is a leading provider of customer communications solutions, serving major utility, insurance, and government entities across North America with over 1.5 billion customer interactions annually.

The role combines technical expertise in automation testing with quality assurance fundamentals. The ideal candidate will be responsible for designing and executing test plans, creating automated tests, and ensuring product quality across web and mobile applications. With 3-5 years of experience required, the position offers a blend of technical challenges and opportunities for growth.

The company offers a compelling work environment that balances professional growth with personal well-being. Benefits include 401k matching, education reimbursement, flexible schedules, and various wellness perks. The office culture promotes creativity and individual responsibility while providing long-term stability.

Key technical requirements include experience with Python, JavaScript, or Java, proficiency in automation tools like Cypress, and familiarity with API testing and databases. The role demands strong problem-solving abilities and excellent communication skills, making it ideal for someone passionate about quality assurance and continuous improvement.

This position would be perfect for a mid-level engineer looking to advance their career in a growing company that values both technical excellence and work-life balance. The hybrid work model offers flexibility while maintaining collaborative opportunities in their Tempe office.

Last updated 2 months ago

Responsibilities For QA Engineer - Data Analytics Team

  • Design and maintain test plans and develop test cases based on business requirements
  • Create and maintain automated tests for new and existing functionalities
  • Perform multiple types of testing (functional, system, end to end, data integrity)
  • Execute and deliver test results to the team(s)
  • Build and deploy software applications on multiple environments
  • Assist in parallel running of current system validation

Requirements For QA Engineer - Data Analytics Team

Python
JavaScript
Java
Linux
  • Bachelor's degree / Diploma in Computer Science or related field
  • 3-5 years of experience in Quality Assurance or test automation
  • Experience with automation testing tools (Cypress, Selenium, Ranorex)
  • Experience with Python, Databricks, AWS
  • Experience with API testing and web services
  • Experience with Linux/Unix/Windows OS
  • Experience with source control systems (GIT)
  • Experience with databases (SQL, Oracle, MySQL, Dynamo DB)
  • Experience with mobile application testing for Android and iOS
  • Strong problem solving and communication skills

Benefits For QA Engineer - Data Analytics Team

401k
Education Budget
Mental Health Assistance
  • 401k Matching
  • Paid birthday day off
  • LinkedIn Learning subscription
  • Bi-annual performance bonuses
  • Education reimbursement program
  • Flexible schedules
  • Free refreshment stations
  • Two paid volunteer days
  • On-site Fitness center
  • Tickets at Work membership
  • Headspace premium membership

Interested in this job?

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