Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

195,469 listings · 20,421 employers Counted Nov 3, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,025 listings), Shoppers Drug Mart (3,884 listings), Walmart Canada (3,178 listings).

Common roles: Retail sales associate, Practical nurse, Stock associate.

31,760 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	16,335
CAD / year	80,000.00	12,769
USD / year	100,000.00	787
USD / hour	20.00	653
CAD / month	5,561.68	54
CAD / week	1,250.00	33
CAD / day	200.00	15

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.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

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J2B Global LLC

Senior Python Developer - Data Lineage & Gen AI - 8+ Years

Mississauga, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Role: Senior Python Developer - Data Lineage & Gen AI

Location: Mississauga, Canada

Visa

Salary Expectation

Job Summary: We are seeking a hands-on Python Developer to design and build scalable data lineage solutions that parse and analyze large, multi-language codebases to generate accurate, column-level data lineage. The role combines strong Python engineering, software architecture, data flow analysis, and hands-on Gen AI/LLM experience.

The ideal candidate should have expertise in developing reusable libraries, executable applications, event-driven frameworks, design patterns, APIs, databases, and graph-based technologies.

Required Technical Skills:

Strong Python development skills with expertise in object-oriented and functional programming.

Ability to develop core libraries, reusable components, and executable applications using Python.

Strong understanding of software architecture, event-driven frameworks, and design patterns.

Proficiency in data structures, algorithms, and complexity analysis.

Experience with Oracle Database, SQL, API development, and backend services.

Knowledge of Graph APIs, Graph Databases, graph algorithms, and traversal techniques.

Experience with data lineage, data flow analysis, AST-based parsing, and static code analysis.

Ability to parse and analyze source code across multiple programming and query languages.

Hands-on Gen AI/LLM experience, including prompt engineering, tool/function calling, and agent orchestration.

Understanding of Retrieval-Augmented Generation (RAG), vector databases, and semantic search.

Experience designing APIs, backend services, and basic front-end interfaces.

Knowledge of CI/CD, build automation, testing, deployment, and production support.

Strong data manipulation and transformation skills.

Key Responsibilities:

Design and develop Python-based engines to parse multiple programming and query languages and generate accurate, column-level data lineage.

Build reusable Python libraries and scalable components for code parsing, analysis, and dependency tracking.

Develop Gen AI/LLM-powered retrieval and assistant capabilities using lineage and metadata.

Build backend services, APIs, and interfaces to expose data processing and lineage insights.

Extend parsing and analysis capabilities to support new languages and frameworks.

Design and implement graph-based dependency and lineage tracing solutions.

Own build, testing, deployment, CI/CD, and production support across environments.

Write automated tests and maintain software quality throughout the development lifecycle.

Collaborate on architecture and design reviews and translate complex requirements into maintainable solutions.

Engineering Expectations:

Follow clean architecture, separation of concerns, and reusable design principles.

Build deterministic, testable solutions with AI outputs grounded in verifiable data.

Optimize performance, memory usage, and algorithmic efficiency.

Design extensible systems that support new languages, data sources, and capabilities.

Implement robust error handling, fault isolation, and maintainable code.

Nice to Have:

Knowledge of data governance, metadata management, and data cataloging.

Experience with long-running or asynchronous workloads.

Familiarity with infrastructure automation and deployment tools.

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More about this job

Responsibilities

Develop Python-based engines and reusable components to parse multiple programming and query languages, analyze dependencies, and produce accurate column-level data lineage. Build AI-powered retrieval capabilities, APIs, and graph-based lineage solutions, while owning testing, deployment, CI/CD, and production support.

Requirements

Requires 8+ years of experience and strong Python engineering skills, including software architecture, algorithms, APIs, databases, graph technologies, and code analysis. Candidates should also have hands-on Gen AI/LLM experience, including prompt engineering and agent orchestration, and knowledge of RAG, vector databases, testing, and deployment.

Skills

Python
Object-Oriented Programming
Functional Programming
Data Lineage
AST-Based Parsing
Static Code Analysis
Data Flow Analysis
Oracle Database
SQL
API Development
Graph Databases
Graph Algorithms
Generative AI
Large Language Models
Retrieval-Augmented Generation
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

Python
Data Lineage
Column-Level Lineage
Data Flow Analysis
AST-Based Parsing
Static Code Analysis
Oracle Database
SQL
API Development
Backend Services
Graph APIs
Graph Databases
Graph Algorithms
Generative AI
Large Language Models
Prompt Engineering
Tool Calling
Agent Orchestration
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Event-Driven Frameworks
Object-Oriented Programming
Functional Programming
CI/CD
Build Automation
Automated Testing
Data Governance
Metadata Management
Data Cataloging

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