The data landscape is rapidly changing and evolving, and so does the way data engineers and practitioners work: newer and better tools, representation formats and best practices appear every few months.
If we want Tinybird to be the go-to tool for building user-facing applications with real-time data, we need to keep up the pace. And in order to do that, we need to meet data practitioners where they are, providing delightful data integrations for the platforms they're already using (BigQuery, Snowflake, Redshift, Kafka, DynamoDB, MongoDB, S3, GSC, etc.). That's what the Integrations team is responsible for at Tinybird.
We are looking for someone for this team with relevant experience building complex data integrations and pipelines and is up for the challenge of building a category-defining product.
You will help us build the integration stack of Tinybird, having a critical impact in the design, architecture and the way we operate all our Connectors. These are the main skills we're looking for, and our expectations for this position:
Some other things that are important to us:
In this company, everyone is part of the product team. While your focus will be on Backend development in the Integrations team, the priorities of what you tackle will be mostly driven by the things we want to accomplish with the product.
Depending on the week, you could be working on the priorities for the Integrations team: which means building a new Connector MVP, an iterative improvement for an existing integration or bug fixing. Or, working at the Fast Responders team, which is a team where different members of the Product team work on fixing problems reported by our customers, improving or monitoring features we have just released, or removing some technical debt we identified.
We discuss the product pretty much every day. It needs to balance today’s problems with tomorrow’s, so the vision of someone working with the product to fix real problems is crucial, but the outlook of someone who knows the internals is invaluable to making the right long-term decisions.
Our product design approach is to work backwards: someone proposes a solution to a problem, explains why it's important, describes how it would work, and writes (but doesn’t yet publish) the announcement blog post. Then, everyone else reads it, asks questions, and we decide if that makes sense or not. You'll be part of this, of course. Typically, we build what we call an MSP (“Minimum Shitty Prototype”) that enables us to see very roughly how it would work and to understand the real effort involved in actually shipping it.
Onboarding
First 30 days
You'll meet the team and key customers, and be briefed in with the mid term goals and roadmap. You'll start participating in all the team dynamics.
After 3 months
You have finished the onboarding, and spent a few weeks working on our Fast Responders teams. That's the best way of getting to know them, and our product: by solving actual customer issues in production using our product.
After 6 months
At this point you are a fully functional team member, and you have participated in a couple of initiatives to improve the product. At this point, you'll be assigned your first initiative, that you'll own end to end.
We try to simplify the process as much as we can, and we don't like to extend it with any candidate more than two weeks (if the whole process is completed):
Apply telling us a bit about yourself and your motivations to work in Tinybird. Besides, we are happy to answer whatever you need to know about the problem we are trying to solve, the company, your role, etc.
About Tinybird
Tinybird is the data platform that helps data engineering teams address complex real-time, operational, and user-facing analytics challenges at any scale. It simplifies the process of importing data from various sources, allowing you to use SQL for data manipulation—such as filtering, aggregating, and joining—and then publish the results as low-latency, high-concurrency RESTful API endpoints or as sinks into downstream systems.
Loved by developers.
Trusted by data teams.
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