Full-time seat
One engineer on your product all week: in your standups, your repository and your chat.
Data engineers who build the pipelines your reports and models depend on.
How they can join

Skill 01 / 06 · Python / SQL
Gel 04 · AI & data crew
Our data engineers design warehouses, write ETL and ELT jobs, and set up streaming when batch isn't fast enough. Pipelines are tested, scheduled and monitored, so a broken source shows up as an alert, not a wrong number in a board deck.
06 takes · concept to code
Pipelines in Airflow and dbt that are tested and versioned
Warehouses in Snowflake, BigQuery or Redshift, modelled for your questions
Kafka streams when the numbers need to be live
Data quality checks that alert before a report goes wrong
Infrastructure written in Terraform, like the rest of your stack
Cloud spend watched as closely as run times
AI & data · Gel 04 · AI & automation
Hire by the seat or by the outcome. Every model comes with the same Friday demo and a direct line to the people doing the work.
From CA$2k
One engineer on your product all week: in your standups, your repository and your chat.
A few days a week for steady work that doesn't need a full seat. Scale up when it does.
A defined piece of work with a fixed quote, clear milestones and a demo every Friday.
Our engineers join your team and take direction from your leads, with the StackBridge crew behind them.
Tell us what's missing, meet the people we'd put forward and choose who joins. From then on they're in your standups and on your board, and you see their work at the Friday demo.
Call sheet
New crew member
NDA signed before you share code, data or plans.
Q.01
In Edmonton, Alberta, Canada. We work remotely with teams across North American time zones, and further afield when the hours line up.
Q.02
Our day runs on Mountain Time, so teams anywhere in North America share most of their working hours with us. We agree core hours for standups and reviews before anyone starts.
Q.03
Yes. Send yours or use ours, and it's signed before you share code, data or plans. Everyone we put forward works under it.
Q.04
We read your brief, look at your stack and how your team works, then pick people from our crew who have built in that stack. Each profile comes with a short note on why we chose them.
Q.05
Tell us early. The first two weeks are a trial; if the fit isn't right, we bring in someone else from the crew and hand the work over properly.
Q.06
You do, from the first commit or the first frame. We work in your repository and your design files, and nothing stays on our side when the engagement ends.
Tell us where your data lives and where it needs to go. We'll put forward a data engineer and the first pipeline we'd fix.
Tell us what you're making. We reply within a day with next steps and a rough plan.
Studio 1 · Rec
Booking now forBooking projects · Dec 2026
Next start dates