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Staff Software Engineer - Analytics - Remote

Posted 9 weeks ago
Software Development
Full Time
Worldwide

Overview

Join Contentful as a Staff Software Engineer - Analytics and lead the development of an evolving analytics product, while mentoring engineers and collaborating with senior leadership to shape the product roadmap.

In Short

  • Lead the architecture of the analytics platform for scalability and performance.
  • Mentor engineers and foster a collaborative environment.
  • Collaborate with senior leadership and customers to shape the product roadmap.
  • Provide hands-on guidance to resolve technical challenges.
  • Design and optimize data pipelines using modern cloud-native tools.
  • Deploy and operate statistical and machine learning models in production.

Requirements

  • Experience building high-throughput, data-intensive systems.
  • Ability to craft and oversee end-to-end system architectures.
  • Strong coding skills in server-side TypeScript; SQL or Python is a plus.
  • Familiarity with cloud-native tools and data engineering frameworks.
  • Entrepreneurial mindset and ability to work autonomously.
  • Strong collaboration and customer-centric skills.
  • Proven success in B2B enterprise product environments.
  • Excellent English communication skills.

Benefits

  • Stock options for full-time employees.
  • Comprehensive healthcare coverage.
  • Generous paid time off including vacation and sick days.
  • Company paid parental leave.
  • Personal annual education budget.
  • Wellbeing stipend for health care.
  • Monthly communication stipend.
  • Equipment stipend for hybrid or remote work.
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Jobs for Humanity

Jobs for Humanity is associated with Welo Data, a company that collaborates with technology firms to deliver high-quality, ethically sourced datasets that enhance AI models. With over 25 years of experience as a Welocalize brand, Welo Data connects a global community of over 500,000 AI training and domain experts, focusing on providing relevant, diverse, and scalable data solutions to drive innovation in the AI industry.

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