Staff Full Stack Engineer, Data Products

Summary

Join our Data Products Workbench Team as a Full Stack Engineer to develop high-leverage tooling and user interfaces for data visualization and analysis, shaping the future of data-driven decision-making and building world-class data products.

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