QA Engineer

$70,000 - $90,000/Yr

Vizio Group - Dallas, TX

Full-time - Mid Level

Dallas, TX

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The Quality Engineer position at VIZIO is focused on ensuring the quality of both front-end embedded clients and back-end core/cloud/data pipelines. The role involves validating the Inscape data set, which is utilized by millions of users, and requires detail-oriented testers to identify and report critical bugs before they impact users. The position demands a solid understanding of the software development life cycle, the ability to create and update test strategies, and the execution of both manual and automated testing processes.

Responsibilities

• Create and update test strategies for each scheduled release.
• Review requirements specifications and technical design documents to provide feedback.
• Create detailed, comprehensive, and well-structured test plans and test cases.
• Estimate, prioritize, plan, and coordinate testing activities.
• Design, develop, and execute automation scripts for internal QA use and Operations.
• Utilize Linux/bash for debugging through system-level logs.
• Implement data-driven testing and assess functional impacts on the system.
• Work with SQL and analyze data using Databricks, Python/Spark, and big data technologies.
• Identify, record, document, and track/triage bugs.
• Perform thorough regression testing when bugs are resolved.
• Catalog and maintain a test scenario library.
• Present testing results and progress to the management team.
• Plan release windows and cycles across a portfolio.
• Manage risks and resolve issues affecting release scope, schedule, and quality.
• Engage in early SDLC with Product Managers and Developers to evolve features.

Requirements

• 3+ years of experience as a Quality Engineer in complex system-level architecture or big data services.
• Experience with large-scale integration projects involving ETLs, big data, and streaming technologies like Kafka.
• Experience testing big data environments and defining test approaches for platforms like Snowflake/Databricks.
• Proficient in creating testing strategies and engineering best practices for manual and automated testing.
• Experience in root cause analysis and defect diagnosis techniques.
• Experience with test automation for data warehouse testing.
• Ability to write scripts to automate test cases.
• Experience working in Agile environments.
• Proficient in SQL, Python, Spark, and big data technologies.
• Demonstrated ability to coordinate cross-functional work teams.
• Effective leadership and analytical skills.
• Advanced written and verbal communication skills.
• Hands-on experience in building automated regression testing capabilities.
• Ability to work independently in a fast-paced environment with strict deadlines.

Nice-to-haves

• Experience with load and performance testing strategies.
• Exceptional customer service orientation.
• Scripting and troubleshooting skills in Linux.

Benefits

• Eligibility for an annual bonus.
• Equity options.
• Medical insurance coverage.
• Dental insurance coverage.
• Vision insurance coverage.