Markham, On Python full stack data engineer Jobs – 115 Openings This Week

Data Scientist / Data Engineer
GTT, LLC —Markham, ON
- $85–$100 an hour
- Overtime
- Azure
- Oracle
- Computer Science
Quick apply
Data Engineer / Data Architect & Software Developer — Azure / Databricks
Raise —Ontario
- Full-time
- Hybrid work
- SQL
- Machine learning
- Quality Control
Quick apply
5d
Software Developer
fgf brands —Greater Toronto Area, ON
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- Tuition reimbursement
4h
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One —Toronto, ON
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
Full Stack Developer
Quantiphi —Toronto, ON
- Remote
- Azure
- System design
- Databases
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group —Toronto, ON
- $160,000–$200,000 a year
- Hybrid work
- Computer Science
- Engineering
- Analysis skills
- Tuition reimbursement
Staff Software Engineer - AI Platform
CaptivateIQ —Toronto, ON
- $181,289–$285,272 a year
- Full-time
- Hybrid work
- Sales
- AI
- Python
- Dental care
- Paid time off
Quick apply
Senior Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group —Toronto, ON
- $130,000–$180,000 a year
- Hybrid work
- Azure
- Computer Science
- Engineering
Member of Technical Staff - Cybersecurity Capabilities
Preference Model —Toronto, ON
- $180,000–$300,000 a year
- Full-time
- C++
- Python
- Dental care
- Vision care
AI Enablement Student (4 months) - Fall 2026
Canadian Tire Corporation —Toronto, ON
- $23–$37 an hour
- Full-time
- Computer Science
- Research
- Analysis skills
- Profit sharing
7d
Senior Software Engineer, Backend Full Stack - Financial Product
Rippling —Toronto, ON
- $159,000–$278,250 a year
- Hybrid work
- Communication skills
- Python
Senior Full Stack Engineer
Codal —Toronto, ON
- $110,000–$125,000 a year
- Azure
- DevOps
- AWS
- Dental care
- Vision care
Quick apply
Senior Full Stack Engineer - PricingCenter
Guidewire Software —Toronto, ON
- $126,000–$157,000 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Continuous improvement
- Dental care
- Paid time off
Senior Software Engineer II, Machine Learning
Narvar —Toronto, ON
- $180,000–$230,000 a year
- Remote
- Computer Science
- Master's degree
- Databases
Quick apply
14h
Machine Learning Engineering Co-op
VCycene Inc. —Markham, ON
- $20–$25 an hour
- Full-time
- Computer Science
- Engineering
- In-person
- Flexible schedule
Quick apply
9d
Software Engineer, Detection (TOR)
Doppel —Toronto, ON
- $157,000–$367,000 a year
- Full-time
- Hybrid work
- System design
- Java
- Databases
- Paid time off
Software Engineer (Java) – Front Office Pricing & Risk
TD Bank —Toronto, ON
- $126,800–$164,100 a year
- Full-time
- Java
- Analysis skills
- Linux
- Paid time off
5d
Agentic AI Platform Engineer (PL862)
Paralucent —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
Quick apply
Sr. Embedded Software/Firmware Engineer
Ethernovia, Inc. —Toronto, ON
- $175,000–$225,000 a year
- Remote
- Computer Science
- Master's degree
- C++
- Dental care
- Vision care
Quick apply
Staff Software Engineer, AI Platform
EvenUp —Toronto, ON
- $174,729–$236,398 a year
- Full-time
- Hybrid work
- System design
- Java
- C++
- Designated paid holidays
- Disability insurance
Quick apply

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python full stack data engineer jobs near markham, on

Data Scientist / Data Engineer

GTT, LLC -
Markham, ON

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Job details

Contract
$85–$100 an hour

Qualifications

Azure
Oracle
Data mining
Computer Science
SAS
Tableau
Finance
Master's degree
SQL
Statistical analysis
Analysis skills
C
Financial services
Informatica
Communication skills
Python
Debugging

Full job description

Data Scientist / Data Engineer

Location: Markham, ON

Onsite Flexibility: Hybrid 3 days a week in office (anchor day: Wednesday)

Contract Details

Position Type: Contract
Contract Duration: 6 months (with potential for extension and conversion to permanent)
Pay Rate: C$85.00 C$100.00 / Hour (CAD)
Shift / Schedule: Monday Friday, core business hours; overtime as needed
Travel Requirements: Not required

Job Summary

Reporting to the Senior Advanced Analytics Manager, the Data Scientist / Data Engineer will be conducting all analytical activities related to AML transaction monitoring systems. This role is best suited for someone with a blend of Data Engineering (60 70%) and Data Science (30 40%) skills. The focus is on Oracle migration, data quality, SQL/Python development, statistical analysis, and cross-functional collaboration, rather than machine learning. The team is supporting TD's migration from SAS-based systems to Oracle for AML/financial crime monitoring, and is looking for contractors to support this transformation project. Core Oracle migration and implementation work runs until April 2027, with interim monitoring work expected to be busiest until approximately October 2026, with ongoing support afterward. The hiring manager is looking for a full-stack data scientist who combines Data Science, Data Engineering, Data Quality, Data Exploration, and Statistical Analysis capabilities. The exact job title is not important candidates can come from Data Scientist, Data Engineer, or Data Analyst backgrounds if they have the right experience. Fast learners with strong technical fundamentals and migration experience will be highly competitive.

Key Responsibilities

Work independently to provide analysis, design, and support of technical data management solutions on various projects ranging in complexity and size
Conduct data quality checks on raw or curated data on Oracle and Azure platforms
Conduct activities related to customer segmentation, scenario initial threshold setting, and model performance monitoring
Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
Execute quality control procedures to review end-to-end interim monitoring solutions, identify gaps, and support future-state implementation activities
Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies
Perform data quality validation, data cleansing, data stitching, and data integration
Build data engineering capabilities for combining multiple data sources
Support Oracle implementation (MVP 2) by validating data and preparing scenarios
Conduct transaction segmentation and initial threshold setting for AML monitoring scenarios
Monitor production performance, alert volumes, and suspicious transaction reports (STRs) after implementation
Analyze impacts when unusual alert patterns occur
Help develop and execute interim monitoring solutions while legacy systems are phased out
Collaborate with technology, project managers, business teams, and data teams

Required Skills

Expert-level proficiency in Python and SQL
Advanced knowledge of query optimization, debugging, and automation
Strong data exploration and analysis skills, with experience working with large-scale datasets
Ability to apply statistical techniques and data mining tools to solve business problems
Strong knowledge of and experience with data-driven or data-centric projects
Data engineering experience
Data quality and data transformation
Strong statistical knowledge (for segmentation and threshold setting)
Ability to learn quickly in a changing environment
Strong collaboration and communication skills, with the ability to engage cross-functional teams, discuss complex data issues, and present findings clearly
Proven ability to work effectively within large, collaborative teams and contribute as a strong team player
Excellent multi-tasking skills: ability to adapt to and manage changing priorities

Preferred Skills

Experience with SAS, Informatica, Tableau, and other relevant data analytics tools
AML knowledge
Oracle ECM experience (not expected because it's a niche platform)
Azure data pipeline experience
Informatica mapping knowledge
Data migration experience (strongly preferred)
Banking/financial services knowledge

Education Requirements

Master's degree in Computer Science or a related field is ideal; equivalent experience will be considered

Required Experience

5+ years of overall experience
5 years of experience with Python
5 years of experience with SQL
5 years of experience applying statistical techniques and data mining tools to solve business problems
5 years of data exploration and wrangling experience
5 years of experience in query optimization, debugging, and automation
5 years of experience working in large, data-driven batch environments

Nice-to-Have Experience

1+ year of AML experience
Experience with Tableau
Experience with SAS
1+ year of experience with Informatica
Financial institution (FI) background

Important Notes

Interview Process: Single panel interview consisting of a Python coding test, SQL coding test, statistics questions, a case study, and a technical discussion with the hiring manager and team; conducted in person in Markham
Machine learning model development is not part of this role at this time; ML knowledge is helpful but will not be used until Oracle implementation is complete
The contractor will have access to customer data

About the Client

This client is a top 10 bank in Canada and North America operating across retail, commercial, wealth management, and wholesale banking, with a presence spanning thousands of locations across North America and serving millions of clients in today's evolving financial market. Employing tens of thousands of professionals across its network, the organization offers comprehensive financial solutions at scale. Teams include data scientists, data engineers, financial crime risk specialists, technology professionals, and analytics managers who collaborate across large, cross-functional programs to support regulatory compliance, AML monitoring, and enterprise transformation initiatives.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-08008 Industry: Data & Analytics

#LI-GTT #LI-Onsite #gttca

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Data Scientist / Data Engineer

Contract Details

Job Summary

Key Responsibilities

Required Skills

Preferred Skills

Education Requirements

Required Experience

Nice-to-Have Experience

Important Notes

About the Client

About GTT