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About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
Job Responsibility:
Build excellent tools to support efficient development for internal teams
Work on tool backend API design, performance improvement, data storage and make tools highly available and good user experience
Be responsible for the QA platform infrastructure and continuous iterative upgrades
Understand business requirements and participate in discussions with the different stakeholders to design technical solutions
Be creative and study new technologies in space, make sure of high availability and scalability for email systems
Requirements:
Bachelor's degree in Computer Science, or related majors
2+ yrs backend experience
Solid computer foundation and programming skills, familiar with common data structures and algorithms
2+ years of experience in one of the following languages: Go/Python
Mastery in one of open source components: Mysql/Redis/Message Queue
Understand and familiar with architecture and developing systems (for the infrastructure team)
Excellent logic analysis capabilities, able to abstract and split business logic reasonably