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2 дня назад

Quality Assurance Engineer (Data Analytics)

97 771 - 115 025$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quality Assurance Engineer (Data Analytics): Leading testing and validation for data pipelines, ETL workflows, reports, dashboards, and analytics solutions with an accent on data quality, automation, and reliable cloud-native analytics. Focus on designing comprehensive test strategies, validating data products, diagnosing production defects, and communicating release readiness across cross-functional teams.

Location: Must live in Oregon, United States; remote, in-office, or hybrid schedules are available.

Salary: $97,771–$115,025 annually for a full-time schedule. The full salary range is $86,270–$143,780.

Company

hirify.global helps injured workers return to work and promotes workplace safety across Oregon.

What you will do

  • Establish and execute quality assurance strategies for reliable, secure data and analytics products.
  • Design and maintain test plans, test cases, automation solutions, and comprehensive testing strategies.
  • Perform functional, regression, performance, security, and user acceptance testing for data pipelines, ETL workflows, reports, dashboards, and analytics solutions.
  • Partner with data engineers, analysts, product managers, product owners, and business stakeholders to identify risks and improve testability.
  • Support release planning, quality metrics, production troubleshooting, defect diagnosis, and readiness assessments.
  • Improve QA processes, automation frameworks, tools, and best practices; provide on-call support when required.

Requirements

  • Five or more years of experience in quality assurance and software testing, including manual and automated testing.
  • Experience testing data and analytics products, including data validation and reporting solutions.
  • Proficiency with test automation, CI/CD pipelines, version control, and defect tracking tools.
  • Working knowledge of SQL and Python.
  • Experience working with Agile teams and business partners.
  • Bachelor’s degree in computer science, data analytics, or a related field.

Culture & Benefits

  • Remote, in-office, and hybrid work schedules are available for Oregon-based employees.
  • Health care benefits, retirement savings plans, and paid time off are available to eligible employees working at least 20 hours per week.
  • Work involves collaboration across teams with different perspectives, backgrounds, and communication styles.
  • On-call availability may be required outside regular business hours for urgent IT issues or system implementations.

Hiring process

  • Submit a complete resume and cover letter by October 19, 2026; recruitment may close early if enough qualified applications are received.

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