Data engineer jobs in Mississauga, ON and nearby

Data engineer jobs within 25 km of Mississauga, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 413
Employers: 207

Advertised starting pay

Average starting payCAD / year: $103,479Across 43 listings
Average starting payCAD / hour: $62.93Across 27 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 43%179 listings
On-site: 56%230 listings

Not specified: 1% (4 listings)

Employers hiring include S M Software Solutions Inc (29), BrainStation (11), J&M Group (11).

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

Data engineer jobs in Mississauga, ON and nearby

Within 25 km

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Added 1 month ago
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Microsoft Fabric Data Engineer
Net2Source (N2S)
Brampton, ON
- Contract
Design| develop| and maintain data solutions using Microsoft Fabric components including Data Factory| Data Engineering| Data Warehouse| Lakehouse| and Real-Time Analytics.
Added 1 month ago
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Senior Azure Data Engineer
CIBC
Toronto, ON
- Full-time
Added 4 months ago
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Senior Data Engineer
iQmetrix
Toronto, ON
- Full-time
Added 4 months ago
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Senior Data Engineer (Streaming + AI Systems)
Calliere
Toronto, Ontario
- Full-time
…infrastructure space that’s investing heavily in building a modern data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data…
Added 4 months ago
BA
Manager, Data Engineer
Brookfield Asset Management
Toronto, Ontario
- Full-time
Added 2 months ago
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Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Toronto, ON
- Full-time
The Principal Data Engineer will report to Directo
Added 2 months ago
A
Principal Data Engineer, User Success
Autodesk
Toronto, ON
- Full-time
The Principal Data Engineer will report to Directo
Added 3 months ago
Senior Data Engineer, AI Systems
Movable Ink
Toronto, Ontario
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize…
Added 5 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
Added 5 months ago
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Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
Added 5 months ago
Data Engineer
Glint Tech Solutions LLC
Toronto, Ontario
We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team. The role focuses on building and optimizing large-scale cloud data systems with…
Added 6 months ago
K
Data Engineer
KUBRA
Mississauga, Ontario
- Full-time
Design, build, and maintain scalable cloud-based data pipelines and ETL processes to support BI and reporting solutions
Added 5 months ago
Senior Data Engineer, Event Data
Movable Ink
Toronto, Ontario
The Senior Data Engineer, Event Data will join a newly formed team

No more jobs.

Movable Ink

Senior Data Engineer, Event Data

Toronto, ON, Canada

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Job details

Experience: 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
Posting language: English
Posted: May 15, 2026

Original job description

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink's platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.

Responsibilities:

Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
Write production Elixir and Python services for event processing, transformation, and routing
Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
Participate in system design reviews and help establish best practices for the Events Data team

Qualifications:

6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
Advanced SQL skills for data modeling, query optimization, and analytical workloads
Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
Experience designing and operating data systems on AWS; GCP experience is a plus
Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus

The base pay range for this position is $145k CAD - $185k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

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More about this job

Responsibilities

Design, build, and maintain event streaming pipelines and analytical databases to process massive volumes of client and internal event data. Collaborate with cross-functional teams to define data schemas, ensure system reliability, and implement observability tooling for production data services.

Requirements

Requires 6+ years of professional experience in data or backend engineering with a strong focus on event-driven and streaming systems. Proficiency in Elixir or Python, advanced SQL skills, and hands-on experience with stream processing frameworks and cloud infrastructure are essential.

Skills

Data Engineering
Elixir
Python
SQL
Apache Flink
Kafka
Pulsar
Kinesis
AWS
Data Modeling
Streaming Pipelines
OLAP Databases
Infrastructure-as-Code
Terraform
CloudFormation
Observability

Benefits

Medical benefits
Financial benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Event-driven
Streaming
Elixir
Python
SQL
OLAP
Apache Flink
Kafka
Pulsar
Kinesis
AWS
Infrastructure-as-Code
Terraform
CloudFormation
Data Modeling
Observability
SLA
Databricks
Clickstream
Backend Engineering
System Design
Data Pipelines
Migration
API
Data Contracts
Analytics
Product Engineering
Marketing Technology
AI Decisioning

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