Markham, On Python full stack data engineer Jobs – 114 Openings This Week

Lead Data Engineer
Mastercard —Toronto, ON
- $127,000–$203,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
6h
Engineering Tech Lead
TTEC Digital —Toronto, ON
- Full-time
- Remote
- APIs
- AI
- Python
Quick apply
Senior Software Engineer, R&D Business Systems
Fivetran —Toronto, ON
- $125,882.00–$151,064.50 a year
- Full-time
- Hybrid work
- English
- Java
- SQL
- Paid time off
- Paid sick leave
Quick apply
Senior Site Reliability Engineer
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Engineering
- Java
- Dental care
- Paid time off
Quick apply
Director of Engineering
NuPort Robotics —Toronto, ON
- Part-time
- Computer science
- Doctoral degree
- Computer Science
5d
Senior Technical Product Marketing Manager
Fivetran —Toronto, ON
- $138,069.00–$155,327.50 a year
- Full-time
- Hybrid work
- Sales
- SQL
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- Paid time off
- Paid sick leave
Quick apply
Engineering Manager, Research & Development
ACV Auctions —Toronto, ON
- $136,000–$171,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Employee stock purchase plan
- Disability insurance
Quick apply
Director of Engineering
TTEC Digital —Toronto, ON
- Full-time
- Remote
- Python
- Analytics
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Sr. Software Engineer, Backend
Pinterest —Toronto, ON
- Hybrid work
- Computer science
- Computer Science
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Lead Data Engineer
Mastercard —Toronto, ON
The successful candidate will bring expertise in cloud, data engineering, software development, and AI/ML technologies, partnering across Ethoca and Mastercard…
$127,000–$203,000 a year
6h

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Lead Data Engineer

Mastercard -
Toronto, ON

Apply Now

Job details

Full-time
$127,000–$203,000 a year
6 hours ago

Qualifications

Data development experience
Performance tuning
Software engineering
UI development
Data modeling
Data integration
Cloud architecture
Computer Science
Pentaho
Software Engineering
Software troubleshooting
PCI
SAP HANA
Engineering
Spark
R
Cloud-based ETL
Git
Data and database experience
Information security
Java
SQL
Bachelor's
Machine learning
JavaScript
Azure Data Factory
Distributed systems
Version control systems
Back-end development
Talend
APIs
Financial services
Teradata
Apache
Kafka
Business requirements
SaaS
AI
Software development or architecture experience
Communication skills
Python
Pipeline

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Data Engineer

Overview:

Ethoca is seeking a Lead Data Engineer to drive on-premise solutions and Azure cloud enablement while advancing big data, AI-enabled, and full stack capabilities across our technology landscape.

This is a highly visible role within a high-performing team, responsible for delivering scalable, intelligent, and resilient solutions that support a rapidly growing fintech business. The successful candidate will bring expertise in cloud, data engineering, software development, and AI/ML technologies, partnering across Ethoca and Mastercard to design and implement production-ready data platforms, applications, APIs, and AI-enabled solutions.

Role:

Lead the development of ETL/ELT processes, data movement, streaming and batch data solutions, and enterprise analytics capabilities.
Design, build, and support scalable applications, APIs, services, user interfaces, and AI-enabled solutions.
Drive data lake and cloud initiatives while supporting large-scale data platforms in Azure and on-premise environments.
Maintain and enhance SAP HANA-based data warehouse environments with a focus on reliability, security, scalability, and performance.
Partner with product, analytics, architecture, and engineering teams to translate business requirements into production-ready data, AI, and application solutions.
Support deployments, migrations, upgrades, automation initiatives, and production operations.
Contribute to the evolution of cloud architecture, development standards, and engineering best practices.

All About You:

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Demonstrated experience designing and delivering enterprise-scale data warehouse and data lake solutions.
Strong data modelling, data integration, and SQL expertise.
Advanced programming skills with exposure to Java, JavaScript, Python, R, or similar technologies.
Experience designing and supporting large-scale data platforms, applications, and distributed systems.
Strong understanding of cloud infrastructure and automation, preferably within Azure environments.
Hands-on experience with full stack development, including APIs, backend services, application logic, and user interface development.
Experience with data integration tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, or similar platforms.
Knowledge of streaming data technologies such as Kafka and analytics engines such as Spark or Storm.
Experience working with Git, source control, CI/CD, deployment pipelines, and DevOps practices.
Strong troubleshooting, performance tuning, and problem-solving capabilities.
Experience applying AI and machine learning techniques to solve business problems and support intelligent decision-making.
Familiarity with AI-enabled applications, model-driven services, automation, and production ML deployments.
Excellent communication skills with the ability to collaborate effectively across technical and business teams.
Experience operating within highly regulated, security-focused environments, including PII and PCI-DSS requirements.

Preferred Experience:

Experience within banking, payments, fintech, e-commerce, or credit card industries is highly desirable.
Exposure to both SaaS and on-premise architectures, along with experience supporting SAP HANA or Teradata environments, will be considered a strong asset.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.

Pay Ranges

Toronto, Canada: $127,000 - $203,000 CAD

Apply Now

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python full stack data engineer jobs in markham, on

Lead Data Engineer

Engineering Tech Lead

Senior Software Engineer, R&D Business Systems

Senior Site Reliability Engineer

Director of Engineering

Senior Technical Product Marketing Manager

Engineering Manager, Research & Development

Director of Engineering

Sr. Software Engineer, Backend

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