For companies
Builds the pipelines and warehouses the whole company runs on. We find the ones who can actually do it, and we figure out the right way to bring them to your problem.
A data engineer moves data reliably: the pipelines, warehouses, and models that turn raw events into something the company can trust and use.
AI-native data engineers automate the tedious parts of pipeline work with models and spend their time on schema design, correctness, and the systems that feed AI.
Most hiring filters on credentials and years. The thing that makes a data engineer good does not show up there. It shows up in how they work, which means you have to watch them work to see it.
That is what we do. We watch people work instead of reading resumes, so the person we send you is calibrated on the actual job, not the interview. Sometimes that is a hire. Sometimes it is a project or a person embedded for a while. We work out the shape with you.
They build the pipelines and warehouses that turn raw data into something the company can trust and use.
Yes, it is remote and global. We hire the best person for the work wherever they are. Total compensation runs $160k to $350k depending on level and location.
Yes. It is the one hard requirement. You should already build with AI day to day, with real taste for when to trust it and when not to. If AI coding is still a novelty to you rather than how you work, this is not the role.