QA Engineer

$70,000 - $90,000/Yr

Vizio Group - Denver, CO

Full-time - Mid Level

Denver, CO

1,001-5,000 employees

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The QA Engineer will be part of the Inscape QA team, focusing on ensuring the quality of front-end embedded clients and back-end core/cloud/data pipelines. This role involves validating the Inscape data set used by millions, identifying critical bugs, and ensuring high-quality data delivery to customers. The position requires a detail-oriented individual with a strong understanding of the software development life cycle and a data-driven testing mindset.

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.
• Translate functional impacts into broader system-level data impacts.
• Work with SQL and distributed systems, particularly with high throughput technologies like Kafka.
• 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.
• Maintain a catalog of test scenarios.
• Present testing results and progress to management.
• Plan release windows and cycles across a portfolio.
• Manage risks and resolve issues affecting release scope, schedule, and quality.
• Develop load and performance testing strategies.
• Participate in early SDLC with Product Managers and Developers.

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, databases, and streaming technologies like Kafka.
• Experience testing big data environments and defining test approaches for platforms like Snowflake and Databricks.
• Experience 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.
• Experience writing scripts to automate test cases.
• Experience working in Agile environments.
• Proficiency 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

• Exceptional customer service orientation.
• Scripting and troubleshooting skills in Linux.
• Ability to summarize and present test results to management.

Benefits

• Annual bonus eligibility
• Equity options
• Medical insurance
• Dental insurance
• Vision insurance