IT & data jobs in Canada

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

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 2,651
Employers: 1,288

Advertised starting pay

Average starting payCAD / year: $98,907Across 249 listings
Average starting payCAD / hour: $48.43Across 81 listings
Average starting payUSD / year: $117,708Across 55 listings
Average starting payUSD / hour: $55.50Across 10 listings

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

Where work happens

Remote: 5%124 listings
Hybrid: 38%1,020 listings
On-site: 56%1,487 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (55), TD (47), Royal Bank of Canada (45).

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

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Added 1 month ago
Sr. Business Systems Analyst, PC Optimum
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Toronto, ON
Full-time
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Software Tester (QA/QC)
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Vancouver, BC
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Richmond Hill, ON
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Richmond Hill, ON
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Waterloo, ON
Full-time
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Added 3 months ago
ERP Systems Analyst
Vitalus Nutrition Inc
Abbotsford, BC
$75,000 to $90,000 CAD / year
Full-time

Blackline Safety

Data Engineer

Canada

Job type: Full-time
Experience: 3+ years of experience in a Data Engineering role.
Posting language: English
Posted: Aug 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

Our team at Blackline Safety is growing! As a people-driven technology company, with a mission to make sure every worker returns home safely, we drive innovation, practice resiliency, demonstrate leadership, go the extra mile for our customers, and empower our people to be their best.

As a Data Engineer, you'll help expand, optimize, and maintain data pipelines and infrastructure that power our IoT-enabled safety ecosystem. You'll work with large, real-time and batch datasets from devices across the globe - ensuring our systems are scalable, secure, and delivering accurate, timely data to the teams who need it.

Key Responsibilities

Design, build, and maintain scalable data pipelines (batch and real-time) using modern cloud tools.
Partner closely with product and engineering teams to deliver data-driven features and services that support our safety mission.
Support our existing ETL/ELT processes, data lake, data warehouse, and data lakehouse environments.
Ensure data quality, reliability, and observability through robust monitoring, alerting, and documentation practices.
Participate actively in architectural discussions and contribute to the long-term strategy of our data platform.

About You

Degree in Computing Science, Data Engineering, Information Technology, or related discipline.
3+ years of experience in a Data Engineering role.
Experience with event-driven architecture and related technologies (e.g., Apache Kafka, Amazon MSK).
Familiarity with Infrastructure as Code (IaC) and CI/CD best practices in multi-environment deployment workflows, including hands-on experience with Terraform and GitHub Actions.
Experience with monitoring and alerting platforms such as CloudWatch, Datadog, or PagerDuty.
Hands-on experience with ETL/ELT and orchestration tools including AWS Glue Studio, Matillion, and AWS Step Functions.
Proficiency with AWS data services: Redshift, EMR, S3, Lambda, Kinesis, and MSK.
Strong proficiency in SQL, Python, Java, and/or Scala.
You're a pragmatic builder and problem-solver who's passionate about enabling better decisions through data.
You understand that clean architecture and thorough documentation are essential, not optional.
You work well in agile teams and enjoy collaborating with product, engineering, and analytics partners.
You have opinions on data modeling, enjoy the challenge of working with event-driven architectures, and are comfortable switching between SQL, Python, Java, Scala and a variety of AWS services.
You have embraced AI-assisted development as a core part of your workflow - leveraging agentic tools such as Claude Code, Amazon Q Developer, and GitHub Copilot to accelerate delivery, reduce toil, and maintain higher standards of code quality.
Nice to Have

Experience with additional big data technologies such as BigQuery, Snowflake, Microsoft Fabric, Hive, Hadoop, Apache Flink, or Apache Spark.
Familiarity with BI and analytics tools including Power BI and Amazon Quick.
Experience supporting data science teams with the infrastructure, tooling, and model-serving pipelines they need.
Familiarity with AI/ML services on AWS, including Amazon Bedrock, SageMaker, or Strands, and an understanding of how data engineering work underpins model training and inference workflows.
Comfort working alongside data scientists to help productionize models, ensure training data quality, and build reliable data feeds for analytical and predictive use cases.

Total Rewards

At Blackline Safety, we offer more than just a job - we offer a career with purpose. Our Total Rewards offerings are designed to support the diverse needs of our global workforce and vary based on employment type and location. They may include:

Competitive base salary and annual compensation review
Comprehensive health and dental benefits*
Mental health and wellness support
Flexible work arrangements and hybrid work model for eligible positions
Paid vacation, personal and sick days*
Professional development opportunities
Education funding
A collaborative, inclusive, and mission-driven culture
Exclusive access to perks and discounts
A flexible ‘Dress for Your Day' environment
Eligibility and coverage vary by employment type and region

Diversity, Equity & Inclusion

Blackline Safety is powered by the diversity of our talented employees. We are an equal opportunity employer. We consider all applicants, regardless of age, religion, race, color, ancestry, gender, gender identity or expression, disability, national origin, race, or sexual orientation. We enthusiastically encourage all individuals to apply for positions that fit their passions.

If you require accommodation during the recruitment process, please contact us at careers@blacklinesafety.com. We are committed to ensuring an accessible and equitable experience for all candidates.

Join Us

If you're passionate about technology, safety, and making a difference, we'd love to hear from you. Apply today and help us build a safer, more connected world.

Unauthorized Recruitment Communication Alert

We are aware of the instances in which individuals are receiving fraudulent job offers or interview requests that are fraudulently alleged to be from Blackline Safety.

Blackline Safety does not request payment or personal financial information at any stage of the recruitment process.

Please exercise caution, and do not respond to emails or other communications that are not from a Blackline Safety email address.

Apply About employer

More about this job

Responsibilities

Design, build, and maintain scalable batch and real-time data pipelines to power an IoT-enabled safety ecosystem. Partner with product and engineering teams to ensure data quality, reliability, and observability across data lake and warehouse environments.

Requirements

Requires a degree in Computing Science or a related field and 3+ years of experience in data engineering. Proficiency in AWS data services, event-driven architecture, and programming languages like Python, SQL, and Java is essential.

Skills

Data Pipeline Design
AWS Glue Studio
Apache Kafka
Terraform
GitHub Actions
SQL
Python
Java
Scala
Amazon MSK
AWS Redshift
AWS S3
AWS Lambda
AWS Kinesis
ETL/ELT
Data Modeling

Benefits

Competitive base salary
Annual compensation review
Comprehensive health and dental benefits
Mental health and wellness support
Flexible work arrangements
Paid vacation
Personal and sick days
Professional development opportunities
Education funding
Exclusive access to perks and discounts

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
IoT
AWS
Redshift
EMR
S3
Lambda
Kinesis
MSK
Kafka
Terraform
GitHub Actions
CI/CD
Infrastructure as Code
Matillion
AWS Step Functions
CloudWatch
Datadog
PagerDuty
SQL
Python
Java
Scala
Data Lakehouse
Event-Driven Architecture
Claude Code
Amazon Q Developer
GitHub Copilot
BigQuery
Snowflake

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