The Senior Quality Engineer will join Hiscox’s US Data Engineering practice and bring specialist quality engineering expertise to the team. The role takes an automation-first and shift-left approach: understanding stakeholder needs early, representing those needs throughout development, and helping ensure data applications meet clear, testable requirements. The engineer will work with product owners to turn stakeholder needs into testable requirements, develop and improve automated tests and frameworks, and collaborate with data engineers and quality engineers across the practice. The role also participates in code reviews, applies risk-based judgment to balance quality and delivery speed, and helps foster a psychologically safe culture in which everyone owns the quality of their work. The team operates a modern cloud data platform based on Databricks and dbt, with data surfaced primarily through Power BI. It uses pytest for unit testing, aims to expand its use for end-to-end testing with a BDD approach, and integrates testing with CI/CD using Azure Pipelines. The team is also experimenting with AI tools such as Claude Code and expects engineers to help build out its evolving technology stack. This is a permanent hybrid position based in Atlanta, Boston, Chicago, New York, or West Hartford, with two days in the office each week.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed