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Added 1 min ago
TG
Project Manager (12 Months Contract)
TMX Group
Toronto, ON
- $100 to $120 CAD / hour
- Full-time
Added 1 min ago
T
Wealth Operations Officer III
TD
Toronto, ON
- Full-time
Added 1 min ago
T
Executive Assistant I
TD
Toronto, ON
- Full-time
Added 1 min ago
T
TD Insurance, Vendor Analyst III
TD
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- Full-time
Added 1 min ago
T
Manager, Corporate Segment ORM (5657)
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- Full-time
Added 1 min ago
T
TD Insurance, Counsel I
TD
Toronto, ON
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Added 1 min ago
Staff Engineer, Atlas Agent Engine
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Toronto, ON
Added 1 min ago
GS
Personal Support Worker (PSW)- Manse Rd Residential
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Toronto, ON
- $25.8 to $28.32 CAD / hour
- Part-time
Added 1 min ago
L
Lab Patient Technician - Part Time Regular (Float) - Toronto, ON
LifeLabs
Toronto, ON
- Part-time
Added 1 min ago
C
Part-Time Sales Associate - Famous Footwear CAN
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Added 1 min ago
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Added 1 min ago
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Added 1 min ago
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Toronto, ON
Added 1 min ago
Data Protection Specialist (IT)
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Toronto, ON
Added 1 min ago
Demand Planner I
The Hillman Group, Inc.
Toronto, ON
Added 1 min ago
MS
service team member
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Toronto, ON
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Added 1 min ago
US
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Toronto, ON
- Full-time
Added 1 min ago
US
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Toronto, ON
- Full-time
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US
Bradford Driver Helper
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- Part-time
Added 1 min ago
M
Senior Project Enablement Lead
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- Full-time
Added 1 min ago
Store Associate
Sherwin-Williams
Toronto, ON
Added 1 min ago
Store Associate
Sherwin-Williams
Toronto, ON
Added 1 min ago
SL
Financial Services Consultant- Insurance
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Toronto, ON
- Full-time
Added 1 min ago
SD
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Toronto, ON
- Part-time

Mitchell Martin Inc.

Developer

Toronto, ON, Canada

$38 to $48 USD / hour

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Job details

Pay: $38 to $48 USD / hour
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Data Engineer - Toronto, ON - Contract - $38-48 Per HR

Description

An experienced professional is needed to design, develop, and support large-scale data platforms. This role requires expertise in big data technologies to create efficient data pipelines and processing solutions. The position is based in a hybrid setting, requiring physical presence in the office three days a week.

Key Responsibilities

Design and optimize scalable data pipelines using generic big data technologies.
Develop and maintain batch and real-time data processing solutions.
Support streaming applications and event-driven architectures.
Create and optimize workflows for large-scale datasets.
Collaborate with teams to deliver high-quality data solutions.

Qualifications

Proficiency in generic big data technologies and data processing frameworks.
Experience with SQL and data transformation techniques.
Strong understanding of data ingestion and real-time processing frameworks.
Ability to monitor and enhance data pipeline performance.
Experience in ensuring data quality, governance, and security.

Core Technologies

Big Data Technologies | Streaming Technologies | Data Processing Frameworks | SQL | Data Ingestion Tools

Contact Authorization

By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy on our web site or here (https://www.mitchellmartin.com/privacy-policy).

Benefits

Learn more about our benefits offerings on our web site or here (https://www.mitchellmartin.com/careers/benefits-perks)

Onboarding Expectations

Learn more about our Onboarding Process on our web site or here (https://youtu.be/rjV_NFYjyY4)

EEO Statement

Learn more about our EEO policy on our web site or here (https://www.mitchellmartin.com/eoe-statement)

26-27974

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More about this job

Responsibilities

Design, develop, and optimize scalable data pipelines and batch and real-time processing solutions for large-scale datasets. Support streaming and event-driven applications, monitor pipeline performance, and collaborate with teams to deliver high-quality data solutions.

Requirements

Requires proficiency in big data technologies and data processing frameworks, along with experience using SQL and data transformation techniques. Candidates should understand data ingestion and real-time processing and be able to improve pipeline performance while ensuring data quality, governance, and security.

Skills

Big Data Technologies
Data Engineering
Data Pipelines
Batch Processing
Real-Time Data Processing
Streaming Applications
Event-Driven Architectures
Data Processing Frameworks
SQL
Data Transformation
Data Ingestion
Pipeline Performance Monitoring
Data Quality
Data Governance
Data Security

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Big Data Technologies
Data Platforms
Data Pipelines
Batch Processing
Real-Time Processing
Streaming Technologies
Event-Driven Architectures
Data Processing Frameworks
SQL
Data Transformation
Data Ingestion Tools
Large-Scale Datasets
Pipeline Performance
Data Quality
Data Governance
Data Security
Financial Services

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