Zapier's Data Operations team is looking for several exceptional Data Engineers to join our team. Data Ops supercharges Zapier by making data and data tools useful, accessible, and reliable. We use data to enrich Zapier’s understanding of the needs and behavior of users, customers and partners. Through data insights and products we uncover new strategic opportunities, drive faster user-centric decisions, and make Zapier’s products smarter. If you're interested in helping grow a product that helps the world automate their work so they can get back to living? Then read on…
We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Zapier. To help share a bit more about life at Zapier, here are a few resources in addition to the job description that can give you an inside look at what life is like at Zapier. We hope you'll take the leap and apply.
Zapier is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
You’re experienced in defining and analysing large, complex datasets, finding actionable business solutions to loosely defined problems.
You’re innovative, able to ideate and autonomously drive forward improvements to data pieplines that you own, end-to-end.
You’re technically competent with Python, including at least one SQL dialect - they’re all about the same; we happen to use Redshift.
You have hands-on experience with common machine learning techniques (e.g. predictive modelling, time series modelling, classification and clustering techniques).
You care about the details, and understand that without high quality instrumentation, we suffer from Garbage In, Garbage Out.
You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.
You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply, while iterating as needed.
Things you might do:
Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:
Zapier relies on dozens of systems that emit data about Zapier and our potential and current users and partners. This data is useful for us to make a better product, better decisions, and understand our weaknesses and opportunities. The data team at Zapier pulls this data from DBs, APIs, and event streams, collocates it and then processes it through all the disparate systems to bring them together in a reliable, timely, performant, and easy to understand way to employees and systems that need it.
Within the data team we're made up of several subteams: Data Ops focusing on data infrastructure and storage, compute, ingest, and dimensional modeling; Data Products focusing on building statistical and ML tools and models; and Decision Science that focuses on exposing the data in useful and self-service form.
Our stack is best summed up by: AWS Redshift (and the related AWS products AWS Glue, Redshift Spectrum, AWS S3), Looker, Airflow, Matillion ETL, Kafka, Python, and NiFi. But we're pragmatic -- for example, we have some Java for ingesting data from Kafka, and we use Clojure for inferring schema and other information about data sets.
How To Apply
We have a non-standard application process. To jump-start the process we ask a few questions we normally would ask at the start of an interview. This helps speed up the process and lets us get to know you a bit better right out of the gate. Please make sure to answer each question.
After you apply, you are going to hear back from us, even if we don't seem like a good fit. In fact, throughout the process, we strive to make sure you never go more than seven days without hearing from us.
Since 2011, Zapier has been helping people across the world automate the boring and tedious parts of their job. We do that by helping everyone connect the web applications they already use and love.
We believe that there are jobs a computer is best at doing and that there are jobs a human is best at doing. We want to empower businesses to create processes and systems that let computers do what they are best at doing and let humans do what they are best at doing.
We believe that with the right tools, you can have big impact with less hassle.
We believe in small teams. Small teams are fast and nimble. Small teams mean less bureaucracy and less management and more getting things done.
We believe in a safe, welcoming, and inclusive environment. All teammates at Zapier agree to a code of conduct.
The Whole Package
Location: Planet Earth.
Our team of 400+ is distributed because it lets us work with the best people. You don't have to be located in the USA either. Some team members live in the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more! You just need the skills and drive to succeed in this role and the ability to work from anywhere.
*While we take care of our international folks as best we can, currently, healthcare and retirement plans are only available to US-, UK- and CA- based employees.
Zapier is an equal opportunity employer. We're excited to work with talented and empathetic people no matter their race, color, gender, sexual orientation, religion, national origin, physical or mental disability, or age. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.