From our founding until now, our mission has remained the same: to remove the engineering burden from data teams by standardizing and fully automating data connectors. With Fivetran, your data just arrives in your warehouse, canonical and ready to query, no engineering or maintenance required. As we watch more and more companies leverage our technology to become truly data-driven, we're proud not only of our growth but also of the fact that we've grown without compromising our core values:
Preserve your integrity, even when it's hard.
Always do the right thing, even when it's harder in the short run.
Take the initiative.
Fivetran belongs to all of us. If you see an opportunity to improve something, seize it!
Trust each other.
We trust our teammates to do their part. Our customers trust our product to do what we say it does.
Nurture diversity, equality and inclusiveness.
We seek out teammates who share our values and drive, not people who are exactly like us. We're building a company that works for everyone. At Fivetran, you can always be your authentic self.
Lead, don't follow.
Many of the assumptions in our industry are wrong. We hire smart people and make decisions by reasoning from first principles.
One team, one dream.
We share the pains and successes of our customers, partners and colleagues. And we go above and beyond for each other.
If these values resonate with you, we'd love to hear from you.
Fivetran is looking for ambitious, independent Staff Software Engineer who want to have a big impact at a fast-growing company. You'll build challenging new features of our data pipeline service, improve our software architecture, and maintain reliable operation of the service. We're looking for people who can understand the key values that make our product great, and implement those values in the many small decisions you make every day as a developer:
You'll be working with Cloud APIs, SQL, and NoSQL databases, events, etc.
You'll be working on the core data pipeline that moves terabytes of data from all our customers to their data warehouses.