Senior SDET – Data

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $198k - $281k / year

⏰ Full Time

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

👻 Ghost score 3%

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Quanata

201 - 500 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Quanata is a company that empowers the insurers of tomorrow with AI-assisted modeling capabilities, real-time telematics solutions, and risk-based acquisition innovations, focusing on context-based insurance solutions. They provide advanced contextual and behavioral risk modeling, digital experiences, and telematics-driven rewards programs. Quanata is backed by industry leader State Farm and utilizes Silicon Valley talent and technology to drive innovation in the insurance sector. Their platform offers cloud-native technology solutions for insurers, including telematics-focused consumer-facing apps. Based in San Francisco, CA, Quanata aims to modernize claims processes and enhance underwriting and marketing capabilities for market-leading insurers and innovative insurtechs.

📋 Description

• Design and implement scalable automated testing frameworks for complex data pipelines, processing workflows, and machine learning models • Develop testing strategies covering data quality, schema integrity, data drift, model accuracy, bias, and regression • Validate large-scale distributed data systems for accuracy, reliability, performance, and resilience • Partner with engineering, data science, and operations teams to embed quality throughout the software development and delivery lifecycle • Conduct exploratory testing to identify edge cases and risks in new features, data outputs, and machine learning workflows • Build continuous validation into automated development and deployment processes • Investigate production data and model failures, identify root causes, and help drive resolutions • Mentor junior SDETs and contribute to testing strategies, standards, and quality engineering best practices

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and relevant experience • Typically 6–8 years of software testing experience, including at least 3 years focused on data platform or machine learning testing • Strong programming skills and experience building and maintaining automated testing frameworks • Hands-on experience testing complex data platforms, pipelines, and distributed data processing systems • Strong understanding of data validation, data quality, integrity, consistency, and schema validation • Understanding of machine learning concepts, workflows, and model evaluation methods • Experience developing automated validation approaches for data and machine learning systems • Deep understanding of continuous integration, continuous delivery, and infrastructure automation practices • Ability to troubleshoot complex data and model failures and contribute to root cause analysis • Ability to collaborate across engineering, data science, and operations teams • Strong analytical and problem-solving skills • Ability to mentor other quality engineers and contribute to shared testing standards and best practices

🏖️ Benefits

• Medical, dental, vision, life insurance and supplemental income plans for you and your dependents • Headspace app subscription • Monthly wellness allowance • 401(k) Plan with a company match • One-time $2K payment for in-home office equipment and furniture • Fully provisioned MacBook Pro • Four weeks of PTO in the first year of employment • Twelve weeks of fully paid parental leave for birthing and non-birthing parents • Up to $5000 each year for professional learning, continuing education and career development • LinkedIn Learning subscriptions • Coaching opportunities through BetterUp • Remote-first work arrangement • Core meeting hours from 9AM–2PM Pacific time • Occasional travel is not required

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