Full-time jobs in Canada (372,665 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

372,665 listings · 46,984 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (8,873 listings), Health Match BC (3,925 listings), Walmart (2,882 listings).

Common roles: Project manager, Cook, Sales representative.

65,826 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	24.00	38,644
CAD / year	80,000.00	24,872
CAD / month	5,200.00	681
USD / year	127,500.00	222
CAD / week	1,487.00	75
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
USD / month	4,000.00	11
EUR / year	72,500.00	10

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: 1% remote, 16% 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

Full-time jobs in Canada

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Added 3 hours ago
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Altimetrik

Senior Engineer - Data Engineering

Vancouver, BC, V7X 1L3, Canada

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Applications open in a new tab.

Job details

Apply by: Jan 1, 2027
Posting language: English
Posted: Nov 5, 2026

Original job description

79126

Senior Engineer - Data Engineering, with Finance domain having 5-10 years of experience is required to design and develop robust data pipelines using Python and PySpark to support data processing and analytics initiatives.
In-depth expertise in Data Engineering is critical for this role, encompassing advanced knowledge of Python and PySpark, along with strong proficiency in libraries such as Pandas and NumPy for data manipulation and analysis.
The candidate should be familiar with data frameworks that facilitate data processing and transformation while applying Python in managing data pipelines and implementing data models to enhance data accessibility.
Proficiency in PySpark is essential for handling large-scale data processing in a distributed computing environment, with advanced skills in writing efficient scripts to manipulate and aggregate big data sets.
Knowledge of best practices in data engineering, including data warehousing concepts and data governance, is important, along with familiarity with cloud platforms like Google Cloud and AWS for deploying data solutions.
A Master of Technology in Data Science or a Bachelor of Technology in Computer Science with a specialization in Data Science is required, while preferred certifications include the Google Cloud Professional Data Engineer and AWS Certified Solutions Architect – Associate.
Good to have experience with AWS cloud services, familiarity with Generative AI concepts, and hands-on experience with Machine Learning frameworks, along with strong analytical skills and the ability to collaborate effectively with cross-functional teams.

Company Overview

Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.

Required Skills

Strong Python development with solid object-oriented and functional design skills.
Software engineering fundamentals: data structures, algorithms, and complexity analysis.
Data lineage / data flow analysis: parsing and analyzing source code (AST-based and pattern-based static analysis) and comfort reading multiple languages.
Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.
Understanding of retrieval-augmented generation and vector/semantic search concepts.
Experience designing APIs and backend services, plus the front-end fundamentals to build usable interfaces.
Pipeline and deployment experience: build/test automation, CI/CD, and releasing across environments.
Data manipulation and transformation skills.

Education

Bachelor’s degree in Computer Science, Software engineering or a related field.

Apply About employer

More about this job

Responsibilities

Design and develop robust data pipelines using Python and PySpark to support data processing and analytics initiatives. Implement data models and manage large-scale data processing in a distributed computing environment.

Requirements

Requires 5-10 years of experience in the finance domain with strong proficiency in Python, PySpark, and data engineering best practices. Candidates must hold at least a Bachelor's degree in Computer Science or a related field.

Skills

Python
PySpark
Data Engineering
Pandas
NumPy
Data Pipelines
Data Modeling
Google Cloud
AWS
Generative AI
Machine Learning
Data Warehousing
Data Governance
API Design
CI/CD
Distributed Computing

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Data Engineering
Pandas
NumPy
Data Pipelines
Data Modeling
Google Cloud
AWS
Generative AI
Machine Learning
Data Warehousing
Data Governance
API Design
CI/CD
Distributed Computing
Finance
Data Science
Algorithms
Data Structures
LLM
Retrieval-Augmented Generation
Vector Search
Static Analysis
Object-Oriented Design
Functional Design
Cloud Platforms
Big Data
Data Lineage
Software Engineering

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