As the Zeplin crew, we’re building an app used by tens of thousands of product teams daily. While creating a common language for our fellow designers and developers, we care deeply about building a product that delights them.

Staff Data Engineer
 
Quality data is crucial to Zeplin’s success. With over 4 million users and counting, we are rapidly growing and profitable, and continuing to prepare for our future success. This is an enormous amount of data, that will only continue to grow as we grow, and is currently barely being used. There are already patterns in the data that will give us deeper insight into our customers and our product, help us quickly validate our choices and show us new areas to invest in. 
 
We are seeking an outstanding Staff Data Engineer to help us define and implement our vision for reliable data across the company. We are building our Data Engineering practice from scratch to enable the company’s success by building a solid data foundation. This is an opportunity to influence Data Engineering for a robust, but high potential, company early in its lifecycle.
 
You should have deep understanding of the design, creation, organization, and business use of large datasets, across a variety of data platforms. You should also have the communication skills to be able to work with cross functional teams to understand data requirements, in order to build ETL pipelines to scale our data infrastructure. This is a player/coach role - with significant hands on IC work. You will be setting the foundations for data engineering, tooling and governance in the company while mentoring and growing a new discipline.
 
Qualifications:
  • 8+ years experience in the field, with at least 2+ years building big data systems from scratch
  • Advanced degree in engineering or computer science
  • Fluent in software engineering and at least one general purpose programming language (eg. Java., Python, etc)
  • Fluent in cloud data processing technologies - (Hadoop, Spark, DataFlow, Airflow)
  • Fluent in large scale distributed data processing
  • Experience designing data models and data warehouses and with non-relational data storage systems (NoSQL and distributed database management systems)
  • Advanced querying (SQL) skills
  • Excellent communication and analytical skills
  • Business acumen
  • Experience mentoring junior engineers 
About Zeplin
 
Zeplin is a connected space for product teams where they can share designs, generate specs, assets and code snippets. In just 5 years, we’ve reached over 4 million users from thousands of product teams, including Airbnb, Dropbox, Pinterest, Microsoft and many many more. We’re a Y Combinator startup, also backed by amazing investors like Elad Gil, Mike Maples, Kevin Hale. We’re a small, distributed crew with offices in San Francisco, Istanbul and London, UK.
 
Zeplin started at one small piece of the product development cycle. In fact, designers and engineers interact at every single point from idea, all the way to production. Our goal is to help with all the issues that a product team might face in this process.

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