Top Senior Level Scala Jobs in Seattle, WA
The role involves leading backend engineering for CrowdStrike's Cloud Security Product Group, developing cloud-based systems, mentoring team members, improving product architecture and user experience, and evaluating technologies for better performance.
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.
The Lead Software Engineer will architect and implement solutions for complex software needs, focusing on API design with a contract-first approach. Responsibilities include enhancing frameworks, maintaining CI/CD pipelines, User support, and leading code reviews for improved quality and usability.
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The Staff Backend Developer will focus on transforming the Money product architecture, enhancing banking core functionalities, and managing member-facings services, including data management and entitlements. Responsibilities include overseeing the development lifecycle, project management, code contributions, and process improvements while ensuring compliance with guidelines and effective communication with stakeholders.
As a Software Engineer in Finance Engineering at Stripe, you will design and maintain large-scale platforms and data pipelines for financial operations. The role involves creating robust solutions, ensuring accurate financial reporting, and collaborating with various stakeholders to improve engineering standards and processes.
As a Specialist Solutions Architect, you will guide customers in building big data solutions on Databricks. Your role involves technical leadership for implementing data engineering projects, optimizing data pipelines, and mentoring through advanced technical sales support. You will also provide training and contribute to community knowledge regarding big data technologies.
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