Zapier is will be looking for several experienced Data Warehouse Engineers to join our Data Operations team in 2021. We are a diverse, globally-dispersed team of passionate folks who allow Zapier to make data-based decisions about our customers, our product, and our direction. If you're eager to work on a team where your voice is heard and even though the team is remote, our Data team is about challenges, amazing support, and comradeship. If this sounds like the kind of environment you’re looking for, 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 of faith and apply.
You might be asking why we're posting a role before we need to hire? Great question! We find that hiring Data Warehouse Engineers is hard! We're looking for people who are strong data modellers and finding them isn't easy. So we want to ramp up a bit before the end of the year and hit the ground running when we're able to start recruiting formally.
What will happen if I apply? First, thanks for considering Zapier! Your application will be reviewed by our team's Recruiter and you'll get a message from us if we don't feel like you're quite right for the roles we're looking at for next year. If you are a fit, we'll let you know that we'll keep you in our pool of candidates until the role is fully open and recruiting begins. By applying now, you'll be ahead of the curve!
Zapier is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and maintaining a diverse workforce. Diversity, Inclusion, Belonging, and Equity.
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 Data Governance.
Curious about our stack? We use AWS Redshift (and the related AWS products AWS Glue, Redshift Spectrum, AWS S3), Looker, Airflow, Matillion ETL, Kafka, Python, and NiFi.
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.
Location: Earth (We're open to people in most locations around the world!)
Our team of 350+ is distributed across the world because it lets us work with the best people. We have team members that live in the United Kingdom, Thailand, 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 Canada, UK, and US-based employees.