Jobs in Ontario (212,784 jobs)

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

212,784 listings · 21,278 employers Counted Nov 8, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,428 listings), Shoppers Drug Mart (4,210 listings), Walmart Canada (3,547 listings).

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

34,391 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	18,370
CAD / year	80,000.00	14,654
USD / year	155,000.00	86
CAD / month	4,054.00	68
CAD / week	1,500.00	47
CAD / day	101.00	23
USD / hour	20.00	13

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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S M Software Solutions Inc

Java Developer or Python Developer – Data Lineage & Metadata

Mississauga, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Dec 8, 2026
Posting language: English
Posted: Nov 8, 2026

Original job description

Client: CITI – Java Developer or Python Developer (Data Lineage & Metadata)

We are looking for a highly skilled Java Developer or Python Developer specializing in Data Lineage and Metadata Management with strong expertise in software engineering, backend development, code parsing, data flow analysis, and modern Gen AI/LLM technologies. The ideal candidate should have hands-on experience building scalable systems that parse and analyze large, multi-language codebases to automatically generate accurate data lineage. The successful candidate will be responsible for designing and developing backend services, implementing AI-powered retrieval capabilities, building deployment pipelines, and delivering clean, efficient, reliable, and maintainable solutions.

Role Snapshot

Job Title: Java Developer or Python Developer – Data Lineage & Metadata
Client: CITI
Work Location: Mississauga, Ontario, Canada
Work Arrangement: Onsite

Technical Requirements

The candidate should have strong development experience in Java/J2EE or Python, with the ability to design, develop, and implement scalable software solutions.

Java/J2EE Technical Expertise

Strong knowledge of Java/J2EE development.
Experience with Spring Boot, Hibernate, and Object-Relational Mapping (ORM).
Core development expertise, including the ability to write reusable libraries and executable solutions.
Experience working with event-based frameworks.
Knowledge of different software design patterns.
Experience with Oracle Database.
Experience configuring and working with APIs, Graph APIs, and Graph Databases.

Description

Role Summary

The developer will focus on data lineage and build systems that parse and analyze large, multi-language codebases to automatically generate accurate data lineage.

The role combines strong Python engineering skills with hands-on Gen AI/LLM experience and ownership of build, deployment, and delivery pipelines.

The primary emphasis is on clean, efficient, and well-architected designs, ensuring systems are correct, performant, and maintainable as they scale.

What You'll Do

Design and build engines that parse multiple programming and query languages to extract accurate, column-level data lineage.
Build Gen AI/LLM-powered retrieval and assistant capabilities on top of lineage and metadata.
Develop backend services and the interfaces that expose them, from data processing through to user-facing views.
Own the delivery pipeline, including build, testing, deployment, and production support across environments.

Design Principles We Value

Simplicity First: Favor the simplest design that solves the problem; avoid unnecessary complexity and premature abstraction.
Separation of Concerns: Establish clear module boundaries, single-responsibility components, and well-defined interfaces so individual components can evolve independently.
Correctness and Determinism: Prefer predictable, testable behaviour; ground AI outputs in verifiable data rather than guesswork.
Performance-Aware Design: Consider time and space complexity, memory footprint, and efficient data structures and algorithms from the beginning.
Scalability and Extensibility: Design systems so new languages, sources, and capabilities can be added without requiring rewrites.
Robustness: Implement graceful error handling, fault isolation, and defensive design so one bad input cannot bring down the system.
Readability and Maintainability: Develop code and designs that other engineers can easily understand, extend, and debug.
Reuse Over Duplication: Use shared models and common abstractions instead of duplicating logic.

Required Skills

Strong Python development experience with solid object-oriented and functional design skills.
Strong software engineering fundamentals, including data structures, algorithms, and complexity analysis.
Experience in data lineage and data flow analysis, including parsing and analyzing source code using AST-based and pattern-based static analysis techniques, with the ability to read and understand multiple programming languages.
Hands-on Gen AI/LLM experience, including prompt design, tool/function calling, and agent orchestration.
Understanding of Retrieval-Augmented Generation (RAG) and vector/semantic search concepts.
Experience designing APIs and backend services, along with front-end fundamentals to build usable interfaces.
Pipeline and deployment experience, including build/test automation, Continuous Integration/Continuous Delivery (CI/CD), and releasing solutions across environments.
Strong data manipulation and transformation skills.

Nice to Have

Knowledge of graph algorithms and traversal techniques for dependency and lineage tracing.
Understanding of data governance, metadata management, and data cataloguing concepts.
Experience designing systems for long-running or asynchronous workloads.
Knowledge of infrastructure automation and deployment tooling.

Key Responsibilities

Translate ambiguous requirements into clean, efficient, and well-structured designs.
Extend parsing and analysis capabilities to new programming languages and frameworks without compromising the overall architecture.
Design and productionize Gen AI/LLM and retrieval features that are accurate and grounded in real data.
Build and maintain deployment pipelines and support delivery across different environments.
Write tests and maintain quality throughout the development lifecycle.
Collaborate on design reviews and continuously raise the engineering standards of the team.

Interview Process

The Selection Process Will Consist Of 3 Interview Levels

L1 – Altimetrik Internal Panel: Interview through Microsoft Teams or Zoom.
L2 – Karat Interview.
L3 – Discussion with the Project Team: Interview through Microsoft Teams or Zoom.

How to Apply

If you find this opportunity aligns with your career goals and interests, we kindly request that you send your documents to hrsmss@smsoftconsulting.com by November 11, 2026, at your earliest convenience.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)

We cannot proceed with the submission without the mandatory documents.

Please check out this opportunity on our career site.

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More about this job

Responsibilities

Design and develop scalable systems that parse multi-language codebases to generate accurate, column-level data lineage, and build backend services and AI-powered retrieval capabilities grounded in metadata. Own testing, build and deployment pipelines, production support, and ongoing improvements to system quality, performance, and maintainability.

Requirements

Requires strong Python or Java/J2EE development and software engineering fundamentals, including object-oriented design, algorithms, and experience with code parsing, static analysis, data lineage, and data flow analysis. Candidates should also have hands-on Gen AI/LLM and RAG experience, API and backend development skills, and experience with automated testing, CI/CD, and deployment.

Skills

Python
Java/J2EE
Data Lineage
Metadata Management
Static Code Analysis
Abstract Syntax Trees
Data Flow Analysis
Generative AI/LLMs
Retrieval-Augmented Generation
Prompt Design
Agent Orchestration
API Design
Backend Development
CI/CD
Oracle Database
Graph Databases

Visa sponsorship

Not detected in the job text

Keywords

Java
Python
J2EE
Spring Boot
Hibernate
Object-Relational Mapping
Oracle Database
Data Lineage
Metadata Management
Code Parsing
Static Analysis
Abstract Syntax Trees
Data Flow Analysis
Generative AI
Large Language Models
Retrieval-Augmented Generation
Vector Search
Semantic Search
Prompt Design
Tool Calling
Agent Orchestration
Backend Services
API Design
Graph APIs
Graph Databases
Graph Algorithms
CI/CD
Build Automation
Deployment Pipelines
Data Governance

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