Engineering
Data Engineer, Connectors
Build the integrations Pulse runs on, and make the numbers reconcile every time.
- Location
- Remote (Canada) or Ottawa
- Type
- Full-time
- Level
- Senior · 4+ years
- Salary band
- CA$100,000 – CA$140,000
COVIS Pulse is only as good as what it can read. Today that is eight connectors; the roadmap is considerably longer, and every one of them has its own auth model, rate limits, pagination quirks and definition of a 'transaction'.
This role owns that surface. It is the least glamorous and most load-bearing engineering work in the company, and the person doing it well is the reason a business owner trusts the number on the screen.
What you’ll do
- Design, build and maintain connectors to payment, accounting, analytics, review and calendar platforms.
- Own the sync architecture — scheduling, incremental fetch, backfill, retry, and idempotency under partial failure.
- Normalise wildly inconsistent third-party schemas into one internal model that reporting can rely on.
- Build the reconciliation and alerting that catches a drifting number before a customer does.
- Handle credentials properly: encryption at rest, least-privilege scopes, signed and expiring authorisation.
What we need from you
- Four or more years in backend or data engineering, with real ownership of production pipelines.
- Strong TypeScript or Python, and strong SQL. You should be comfortable reasoning about a slow query without reaching for an ORM.
- Demonstrated experience with third-party API integration at scale — OAuth, webhooks, rate limiting, pagination, eventual consistency.
- A rigorous attitude to data correctness. You should find a 0.4% discrepancy genuinely annoying.
- Legally able to work in Canada.
Nice to have, not required
- Experience with financial or accounting data and the reconciliation problems that come with it.
- Postgres row-level security, or other multi-tenant isolation approaches.
- You have built a connector framework rather than a pile of one-off integrations.
On degrees
No degree required. A degree in computer science, engineering, mathematics or a related field is relevant here more than in most of our roles, but demonstrable pipeline work outweighs it.
Application
Apply for Data Engineer, Connectors
Drop in your resume and we’ll fill in what we can read from it. Correct anything we got wrong, add what’s missing, and send.