IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 18, 2026

Hiring at a glance

View jobs

Open jobs: 2,683
Employers: 1,290

Advertised starting pay

Average starting payCAD / year: $97,748Across 251 listings
Average starting payCAD / hour: $50.56Across 84 listings
Average starting payUSD / year: $117,351Across 54 listings
Average starting payUSD / hour: $57.93Across 12 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%127 listings
Hybrid: 39%1,043 listings
On-site: 56%1,493 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (76), Royal Bank of Canada (59), TD (49).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

Save this search

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Jim Peplinski Capital

Data Engineer

Calgary, AB, T2A 2N6, Canada

Job type: Full-time

Apply About employer

Applications open in a new tab.

At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

You will own the end-to-end data platform, including managing pipelines, data warehousing, governance, and analytics delivery. You will also lead the migration from Power BI to Superset and partner with cross-functional teams to enable self-service analytics.

Requirements

Candidates must have 4+ years of experience in data engineering with strong proficiency in Snowflake, SQL, and ELT tools like Airbyte. A track record of owning projects end-to-end and clear communication skills with non-technical stakeholders are essential.

Experience

2 to 5 years

Working hours

40 hours per week

Work arrangement

Hybrid

Skills

Data engineering
Snowflake
SQL
Airbyte
ELT
BI platform
Superset
Power BI
Data governance
Data modeling
Jira
GitHub
Data quality
Pipeline development
Analytics engineering
Communication

Benefits

Competitive compensation
Performance bonus
Comprehensive benefits
Employer supported benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Airbyte
SQL
Power BI
Superset
ELT
Data Governance
PII
Jira
GitHub
Fleet Management
Data Pipelines
Analytics Engineering
RBAC
Data Quality
Semantic Modeling
Automation
Cloud Data Warehouse
Financial Services
Automotive
Credit Analytics
Dbt
Python
AI Tooling
Data Platform
Version Control
Performance Tuning
Cost Management
Integration

Original job description

About Jim Peplinski Capital

For over 35 years, Jim Peplinski Capital (JPC) has financed and managed the vehicles and equipment Canadian businesses run on. We're building the modern model of fleet management, one that starts with data as the catalyst for smarter fleets, optimized assets, and more resilient businesses

We are growing, and we are looking for a Data Engineer who likes to build things from scratch, solve hard problems, and get things done. We're a small, senior technology team on an ambitious growth trajectory, and this is our first dedicated data role. You won't inherit a bureaucracy. You'll build the foundation.

About the Role

You will own JPC’s data platform end-to-end: the pipelines that move data, the warehouse where it lives, the shares that deliver it to customers, the governance that keeps it trustworthy, and the analytics layer that makes it useful. Today that means Snowflake and Airbyte at the core, pipelines from our proprietary fleet management platform, third-party fuel/maintenance/telematics providers, and internal systems, with an analytics migration currently underway from Power BI to Superset.

This is a platform-ownership role with an analytics dimension, not a dashboards-only analyst seat. Because the platform is young, you’ll have a genuine voice in technology choices: when we evolve or replace a tool, you’re in that decision, not downstream of it.

We will consider candidates based in Calgary or Greater Toronto Area.

What you’ll do:

Own the platform. Run Snowflake (warehouses, RBAC, cost management, performance) and Airbyte (connector health, sync reliability, schema changes, incident response) as production systems you’re accountable for.
Build the pipelines. Land data from our core operational systems and third-party providers into the warehouse, accurately, on schedule, and observably, and deliver the internal integrations between business systems where the warehouse is the right backbone.
Own customer data shares. Treat them as a product surface with customer trust attached: secure, correct, and isolated per customer.
Set the governance bar. Classify data (including PII), run access reviews and retention, monitor data quality (freshness, accuracy, anomalies), and set the standard for what counts as a "trusted" dataset. Be the named owner for data questions with customers and vendors.
Lead analytics enablement. Take Power BI to Superset from migration to steady state (models, dashboards, access, and adoption), while keeping production dashboards running and new pipelines onboarding smoothly for the business.
Partner broadly. Work directly with Product, Operations, Sales, Finance, and the Executive team; teach teams to self-serve rather than queue behind you.
Use AI tooling day to day to accelerate analysis, pipeline development, and iteration.

What we’re looking for:

Must have:

4+ years of experience in data engineering, analytics engineering, or a data platform role, with real production ownership
Strong Snowflake experience, including administration, RBAC, and performance and cost tuning
Expert SQL, with comfort modeling business data for analytics
Hands-on experience running Airbyte or a comparable ELT tool (Fivetran, Meltano) in production
BI platform experience (i.e., Tableau or Superset) with an understanding of semantic modeling, not just chart-building
Practical data governance experience, including classification, access control, and retention
Working fluency with Jira and GitHub – our data work is versioned, reviewed, and planned like the rest of our engineering
Clear communication with non-technical stakeholders, including the Executive team and customers directly
A track record of owning and delivering projects end-to-end
A collaborative, energetic communicator who works well within a close-knit team

Nice to have:

Experience with commercial credit or lending analytics, ideally from automotive or financial services background
dbt or similar transformation frameworks

Direct experience with Snowflake data shares is a significant asset

Python for pipeline glue and automation
Experience integrating AI tools into your day-to-day workflow

Why you’ll love it at JPC:

Help shape the future of how commercial fleets are financed and optimized by leading a critical part of our customer experience
Green-field ownership: the platform and standards are yours to shape
A genuine voice in technology choices as the stack evolves
A small team where your work is visible to leadership and customers
Competitive compensation, performance bonus, comprehensive benefits, and other employer supported benefits from day one

Employment type:

New, Permanent Full-Time
Hybrid – based out of either our Calgary, AB or Mississauga, ON office:
- Calgary office: 212 Meridian Rd NE Calgary, AB T2A 2N6
- Mississauga office: 2425 Matheson Blvd East. Suite 120, Mississauga, ON L4W 5K4

***Please take ~5 minutes to complete this survey, your application will not be considered without it: https://secure.personex.com/profile/default.aspx?LANG=ENG&ClientID=b2179a9d-1a2f-11ec-ae9c-165fb6ab0828&uc=LXFFB3PG&QVersion=1

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