2 дня назад
Quality Assurance Engineer (Data Analytics)
97 771 - 115 025$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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