Senior Data QA Engineer – Analytics & Data Quality (Remote)

SAIF Corporation

Oregon (WI)

Hybrid

USD 98,000 - 115,000

Full time

24 hours ago

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Job summary

SAIF Corporation is seeking a senior Quality Assurance Engineer to join our Data Management & Analytics team. You will lead testing and validation for data pipelines, ETL workflows, reports, and dashboards, embedding quality throughout the data lifecycle.

You will collaborate with analysts, data engineers, product partners, and stakeholders, drive automation initiatives, and champion best practices while ensuring data integrity, reliability, and actionable insights for business decisions.

Qualifications

Five or more years of experience in quality assurance and software 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, with working knowledge of SQL and Python.
Experience collaborating with Agile teams and business partners to deliver high‑quality solutions.
Bachelor’s degree in computer science, Data Analytics, or related field.

Responsibilities

Support Data & Analytics leadership in establishing and executing quality assurance strategies that ensure reliable, secure, and high-quality data and analytics products.
Design, execute, and maintain comprehensive test strategies, including test plans, test cases, and automated solutions, while performing functional, regression, performance and security testing and leading user acceptance testing (UAT) to ensure products meet business and customer requirements prior to release.
Partner with data and analytics engineers, product managers, product owners, and business partners to understand requirements, identify risks, and ensure quality standards are met throughout the product lifecycle.
Review product requirements, specifications, and design artifacts to proactively identify quality risks and opportunities for improved testability.
Participate in release planning and execution, ensuring quality metrics, test results, and readiness assessments are communicated to stakeholders and leadership.
Maintain and continuously improve QA processes, tools, automation frameworks, and best practices to increase testing efficiency and effectiveness.
Monitor application performance, support troubleshooting of production issues, and assist with replicating and diagnosing customer reported defects.
Report quality metrics, testing outcomes, and improvement recommendations to leadership and stakeholders.
Act as a backup quality engineer for other IT functional areas
On-call support may be required on an as needed basis or part of a rotating schedule, including availability outside of business hours to support urgent IT issues or system implementations.
Explore diverse perspectives and consistently behave sensitively toward differences in cultural norms, expectations, and ways of communicating. Work effectively with others who have different perspectives, backgrounds, and/or work styles.