Toronto On Junior python developer Jobs – 80 Openings This Week

Senior Data Engineer
CanCap Management Inc. —Toronto, ON
- $130,000–$180,000 a year
- Full-time
- SQL
- Python
Quick apply
Senior Data Engineer
LTM —Mississauga, ON
- $75,163–$79,609 a year
- Python
- Disability insurance
- Dental care
Quick apply
PySpark Big Data Senior Developer - Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Senior QE specialist
CGI —Toronto, ON
- $65,000–$115,000 a year
- Full-time
- Azure
- Java
- AWS
Quick apply
13d
Firmware Engineer, Senior Staff
Qualcomm —Toronto, ON
- Full-time
- Computer science
- Doctoral degree
- Computer Science
6d
Senior Integration Engineer (Future oppourtunity)
GFL Environmental —Vaughan, ON
- DevOps
- Java
- Databases
Pre-Silicon Signoff Lead - 16513
Synopsys —Mississauga, ON
- $146,000–$219,000 a year
- Doctoral degree
- Engineering
- Master's degree
Senior Manager Data Engineering
BMO Financial Group —Toronto, ON
- $94,600–$176,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Data analysis skills
- Tuition reimbursement
- Life insurance
8d
Associate Director, Principal Data Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- DevOps
- AWS
4d
Senior Programmer/Developer
York University —Toronto, ON
- $99,496 a year
- Computer Science
- Java
- Analysis skills
4h
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$95,125 a year
- Python
- Disability insurance
- Dental care
Quick apply
2h

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GoBolt —Toronto, ON
Take ownership of technical problems through the full lifecycle — from design and development through to deployment and iteration.
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Senior Manager Data Engineering
BMO Financial Group —Toronto, ON
A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
$94,600–$176,000 a year
8d

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Senior Data Engineer

CanCap Management Inc. -
Toronto, ON

Quick apply

Job details

Full-time
$130,000–$180,000 a year

Qualifications

Spark
SQL
Distributed systems
Unity
Python

Full job description

Location: Downtown Toronto (Hybrid)

The Evolution: A Canadian Success Story

CanCap is a Canadian success story. We established our reputation as a significant player in the Canadian automotive lending space. Today, that foundation supports a broader ecosystem of financial services operating in the background.

Now, we are changing. We are evolving from a traditional financial institution into a product-led technology company. We are reimagining our operations with the speed and tooling of a modern tech firm.

A note on our current look: We are currently overhauling our entire brand and public presence. If you visit our website today, you will see our history. We are looking for the builders who will architect our future.

The Role: Architecting the Nervous System

We are seeking a Senior Data Engineer to set the technical standard for our data platform. At CanCap, we view data as a strategic product. In this role, you act as a technical anchor—designing scalable ingestion patterns, optimizing Lakehouse performance, and elevating the engineering standards of the team.

You won't just move files around. You will be the technical architect of data products that carry real business value. You will design systems that power everything from real-time credit adjudication to long-term strategic insights, ensuring our architecture is robust enough to handle the complexity of our evolving business.

What You Bring

Technical Mastery: You possess advanced proficiency in SQL and Python. You understand the internals of distributed computing (Spark) and can optimize complex queries and transformation logic for both speed and cost.
Architectural Vision: You think in systems. You understand the trade-offs between streaming and batch processing, you know how to model data for diverse access patterns (Star Schema vs. Data Vault), and you can design for long-term scalability.
Modern Stack Leadership: You have deep production experience with Databricks (Unity Catalog, Lakehouse architecture) and dbt. You know how to implement rigorous DataOps practices (CI/CD, automated testing, observability).
The "Data as Product" Mindset: You apply software engineering principles to data. You treat data quality, documentation, and lineage as first-class citizens, ensuring downstream users trust what they see.
Mentorship: You lift the team up. You conduct thorough code reviews, mentor junior engineers on best practices, and foster a culture of technical excellence.
Experience Guide: We prioritize your ability and the complexity of the data systems you have built over the exact number of years on your resume. We typically see successful Senior candidates with 5+ years of experience.

Your Mission

Architect for Scale: Design and optimize our Databricks (GCP) environment. You will define the patterns for ingestion, storage, and access, ensuring we process data efficiently as volumes grow.
Elevate Standards: You will own the health of our dbt repository and transformation logic. You will establish the standards for testing, documentation, and version control that the rest of the team follows.
Solve Hard Problems: You will tackle the most complex challenges—whether that's integrating a difficult legacy data source, debugging a performance bottleneck in Spark, or designing a real-time streaming pipeline for credit scoring.

How We Work

We believe in clean architecture, thoughtful implementation, and massive leverage.

Developer-Led Tooling: We invest heavily in the tools our engineers actually want to use. We actively experiment with and adopt the latest AI assistants (like Claude, Cursor, Antigravity, and Copilot) to reduce boilerplate and improve velocity. Our tooling strategy is driven by developer feedback and real-world utility.
Modern Data Architecture: We are building a unified intelligence platform using Databricks. You will own the architecture that allows our software engineers to consume complex data models, rather than just treating the database as a simple storage bin.
Technically Agnostic, but Opinionated: We value modularity and clear lineage in our pipelines. We prefer idempotent workflows over "black box" scripts and focus on the result: reliable, high-quality data.
Autonomy: You will collaborate directly with operations and tech teams to solve actual business problems through data, rather than just fulfilling ticket requests.

Why Join CanCap Now?

Impact: You will be part of the wave that transforms a legacy institution into a modern technology leader. Your pipelines will drive decisions for millions of Canadians.
Culture: We are a company of innovators who treat each other with respect. We leave our egos at the door and focus on doing the "right thing" for our customers and our code.
Growth: Because we are evolving so quickly, opportunities for architectural ownership and leadership are abundant.

Diversity and Inclusion

CanCap is an equal opportunity employer and values diversity. We are committed to building and evolving a team reflecting a variety of backgrounds, perspectives, and skills. To be considered for employment, you will need to successfully pass a criminal background check and validate your work experience.

Next Steps

Adding to our team is an important step in our business. We’ve taken time to be purposeful and thoughtful with this job posting, and we encourage you to do the same with your application. Help us understand how your experience aligns with this role and how you can contribute to our Databricks-driven data platform.

Quick apply

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junior python developer jobs in toronto on

Senior Data Engineer

Senior Data Engineer

PySpark Big Data Senior Developer - Vice President

Senior QE specialist

Firmware Engineer, Senior Staff

Senior Integration Engineer (Future oppourtunity)

Pre-Silicon Signoff Lead - 16513

Senior Manager Data Engineering

Associate Director, Principal Data Engineer

Senior Programmer/Developer

Specialist - Data Engineering

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