Top Software Engineer Jobs in Seattle, WA
As a Senior iOS Developer on the Mobile Apps team, you will enhance existing Swift-based iOS applications, contribute throughout the development lifecycle, engage in code reviews, and mentor other developers. You will also tackle architecture improvements and ensure high code quality while collaborating closely with product managers and designers.
As a Senior Applied Scientist, you will lead the Sponsored Advertising team at Chewy, deploying machine learning and data science to enhance product discovery and customer engagement. Responsibilities include developing predictive models, collaborating with product leaders, mentoring junior scientists, and communicating research insights to executive leadership.
The Manager, Business Intelligence III will lead analytics for Chewy's Healthcare Analytics Team, focusing on clickstream and customer behavior data to enhance business strategies and features. Responsibilities include developing analytics tools, owning data infrastructure projects, and delivering actionable insights through collaboration with various teams. The role emphasizes creating user-friendly dashboards and optimizing data processes, contributing to high-growth business analytics and strategic planning.
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The Release Engineer II will collaborate across teams to develop and implement CI/CD infrastructure for software applications at Chewy. Responsibilities include building pipelines, configuring tooling with Terraform, composing build scripts, supporting release processes, and driving continuous improvement within the organization.
The Business Intelligence Engineer III will design, develop, and maintain metrics and dashboards to enhance decision-making processes. This role involves collaborating with Supply Chain teams, analyzing demand, and optimizing data processes. The engineer will also improve reporting frameworks and communicate insights to senior management effectively.
Senior Data Engineer (Data Engineer III) role at Chewy's Data Analytics team. Responsibilities include designing and optimizing data systems, managing data integration, providing collaborative leadership and mentorship, implementing innovative solutions, and developing strategic partnerships. Requirements include a Bachelor's or Master's degree in relevant fields, 5 years of data engineering experience, proficiency in SQL and Python, leadership skills, and an analytical mindset.
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