Full Stack Engineer

Summary

Join Stripe's Data Products Workbench Team as a Full Stack Engineer and contribute to the development of high-leverage tooling and user interfaces for data visualization and analysis. You will play a crucial role in driving data literacy, empowering decision-making, and improving ML model performance. This involves building and launching new capabilities and products, working with diverse systems and technologies, and collaborating with various stakeholders. The ideal candidate possesses a strong technical background with full-stack experience and proficiency in front-end and back-end technologies. You will be responsible for designing, developing, and maintaining robust and scalable user interfaces and backend systems. This role offers the opportunity to mentor junior engineers and shape the future of data-driven decision-making at Stripe.

Requirements

• Have a strong technical background, including 3+ years of experience working on full stack code bases and doing anything it takes to solve problems and delight users
• Proficiency in front end technologies (HTML/CSS/Typescript/React/Redux/REST APIs)
• Experience with server-side programming using languages like Python, Node.js, or Go
• Prefer simple solutions and designs over complex ones, and have a good intuition for what will last and scale
• Are motivated by solving hard problems, and measure your success in terms of impact doing so
• Thrive in a highly collaborative environment involving different stakeholders and subject matter experts

Responsibilities

• Build and launch new capabilities and products that bring significant value to users
• Work with a wide range of systems, processes and technologies to own and solve technical and product problems
• Design, develop, and maintain robust and scalable user interfaces and backend systems for our Data Products, ensuring high performance, accessibility, and responsiveness
• Uphold our high engineering standards, and elevate quality and engineering efficiency within our many codebases and processes
• Collaborate with stakeholders across the organization including dependency engineering teams, product, design, infrastructure, and operations
• Mentor engineers earlier in their technical careers to help them grow

Preferred Qualifications

• Experience of building front end technologies involving data-oriented products or analytics tools
• Experience with data visualization libraries such as D3.js, Highcharts, or Plotly, and an understanding of principles of effective data visualization
• Familiarity with relational and non-relational databases, and ability to design and optimize data schemas to support efficient querying and data processing, optimizing data pipelines, and ensuring seamless data flow across systems