Remote data engineer work from Canada, on US teams
What US teams look for in a Data engineering engineer, how working their hours from Canada plays out and how the Ryz Labs process works.
By the Ryz Labs team · Updated October 2026
Ryz Labs places senior data engineers on US companies’ teams. You work remotely from Canada, on US business hours, with the same tools, meetings and leads as the rest of the team.
What the work is like
You join the engineering team of a US company and report to its technical leads. You take part in stand-ups, code reviews, planning and demos like anyone else on the team. Ryz works with Fortune 500 engineering teams and with fast-growing companies.
How your day lines up with a US team depends on your province:
- Ontario and Quebec (Eastern Time): the same clock as New York.
- Atlantic Canada: one hour ahead of New York in Nova Scotia, New Brunswick and PEI.
- Manitoba (Central Time): the same clock as Chicago; Saskatchewan matches Chicago in winter and Denver in summer.
- Alberta (Mountain Time): two hours behind New York.
- British Columbia (Pacific Time): the same clock as California.
Everything happens in English and in real time with the team, so clear communication matters as much as technical depth: explaining a decision, asking for context and pushing back when something does not add up.
What US teams look for in a data engineer
Data teams build the pipelines and warehouses that analytics, products and AI projects depend on. They want engineers who think about quality, cost and reliability.
- Advanced SQL and modelling: dimensional models and transformations with dbt.
- Orchestration: Airflow, Dagster or Prefect.
- Processing: Spark and Databricks for large volumes.
- Warehouses: Snowflake, BigQuery or Redshift.
- Streaming: Kafka or Kinesis for real-time data.
- Quality and governance: data tests, lineage, permissions and cost control.
Ryz also builds AI pods that ship production AI for US companies. Engineers with this stack often find a natural place on those teams.
Topics worth reviewing
Before your interviews, have clear answers on topics like these:
- Modelling a warehouse for analytics, and when to denormalize.
- Incremental loads, idempotency and backfills.
- Stopping bad data before it reaches a dashboard.
- Cutting the cost of a pipeline that grew too big.
How the selection process works
- Apply. You apply through the Join the team page with your experience and main stack.
- AI-assisted technical interview. A structured technical conversation about your real experience. People make the decisions, not the AI.
- Interviews with Ryz recruiters. They go deeper into your experience, how you work and how you communicate.
- Introduction to the team. When a team matches your profile, we introduce you. The last step is a final interview with that team.
The bar is high: only the top 1% of the tens of thousands of engineers we interview make it onto a team.
Who we look for
- Senior experience with Data engineering, with systems in production.
- Clear, confident spoken and written English for daily teamwork.
- Based in Canada and available during US business hours.
- Ownership: taking an ambiguous problem all the way to production.
- Comfort with asynchronous work across time zones.
Join the team
Ready to work with a US team?
Apply through our Join the team page and tell us about the systems you have shipped.
Join the team →FAQ
How is this different from data science?
The focus is infrastructure: clean, timely, well-modelled data. Predictive models usually sit with data science or AI.
Do the pipelines feed AI projects?
Often. Ryz AI pods depend on well-modelled data, so data engineering is frequently at the centre of the work.
What does Ryz Labs do?
Ryz Labs places senior engineers and AI pods on US companies’ teams. Founded in 2021, it is headquartered in Calabasas, California (Los Angeles area), and has more than 200 people.
How is AI used in the selection process?
One stage is an AI-assisted technical interview. It structures the process, but people make the decisions: Ryz recruiters review every profile.
How long does the process take?
It depends on your profile and on which teams are growing at the time. The stages are always the same, and you will know where you stand.
What kinds of companies will I work with?
US companies across industries, from growth-stage startups to Fortune 500 engineering teams.
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