Senior SDET – Data [Remote-US]

2 hours, 5 minutes ago
Full-time
Senior
Data Science and Analytics
Quanata

Quanata

Quanata is a software development company based in San Francisco, specializing in context-based insurance solutions. The company leverages AI, real-time telematics, and data science to enhance risk prediction, promote safer driving behaviors, and create modern insurance products. Quanata aims to transform the insurance industry by fostering positive behaviors and advancing digital experiences. The company develops a range of software platforms and tools for insurers. Their offerings include AI-powered risk assessment, telematics for driver monitoring, and claims solutions that optimize and automate processes. Quanata also focuses on customer engagement through personalized products and retention tools, supporting insurtech modernization with big data analytics and cloud-native platforms. With a team of around 26 professionals, Quanata draws on talent from Silicon Valley to drive innovation in the insurance sector.

information technology & services
201-500

Description

  • Design and implement automated testing frameworks for data pipelines, distributed processing workflows, and machine learning models.
  • Develop testing strategies covering data quality, schema integrity, data drift, model accuracy, bias, and regression.
  • Validate distributed data systems for accuracy, reliability, performance, and resilience.
  • Collaborate with engineering, data science, and operations teams throughout the development and delivery lifecycle.
  • Conduct exploratory testing to identify edge cases and risks in features, data outputs, and ML workflows.
  • Build continuous validation into automated development and deployment processes.
  • Investigate production data and model failures, perform root-cause analysis, and support resolutions.
  • Mentor junior SDETs and contribute to testing standards and quality engineering practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent education and experience.
  • Typically 6–8 years of software testing experience, including at least 3 years testing data platforms or machine learning systems.
  • 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 knowledge of data quality, integrity, consistency, and schema validation.
  • Understanding of machine learning concepts, workflows, and model evaluation methods.
  • Experience with automated validation for data and machine learning systems.
  • Strong understanding of CI/CD and infrastructure automation practices.
  • Strong analytical, troubleshooting, collaboration, and mentoring skills.
  • Preferred: experience with model interpretability, fairness, bias, MLOps, production monitoring, data governance, or compliance.

Benefits

  • Salary range of $198,000–$281,000.
  • Medical, dental, vision, life insurance, supplemental income plans, and a 401(k) with company match.
  • Remote-first work across the U.S., with a $2,000 home-office equipment allowance and provisioned MacBook Pro.
  • Four weeks of PTO in the first year and 12 weeks of fully paid parental leave.
  • Up to $5,000 annually for professional development, plus LinkedIn Learning and BetterUp coaching access.
  • Headspace subscription and monthly wellness allowance.

Interested in this position?

Apply directly on the company website

Apply Now

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