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Added 3 months ago
PI
Data Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
Hands-on ETL/ELT development experience with dbt, SQL, and ingestion tools such as Fivetran, Matillion, Airbyte, StreamSets, or Kafka connectors.
Added 3 months ago
R
Python Automation Developer, Network Security
RAVL
Toronto, Ontario
- Full-time
We're looking for a Senior Full Stack Developer to join our team on a short-term contract engagement. In this role, you'll build automation solutions that improve operational efficiency,…
Added 4 months ago
KC
Manager, GRC
KPMG Canada
Toronto, Ontario
- Full-time
Technical skills Java, JavaScript; REST/SOAP, JSON/XML; Python/PowerShell; SQL.
Added 2 months ago
MS
Full Stack – Java Application Developer (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Experience with RDBMS and SQL is a nice-to-have.
Added 2 months ago
CF
Director, Business Analytics and Insights
CI Financial
Toronto, ON
- Full-time
Proficiency in data visualization tools (e.g., Tableau, Power BI), statistical software (e.g., Python), and CRM platforms (e.g., Salesforce); with a strong working knowledge and…
Added 2 months ago
F
Data Engineer
Financeit
Remote, Canada
- Full-time
- Remote
Strong hands-on SQL and ideally dbt experience - you are comfortable building and refactoring layered data models, writing macros, and working with incremental materializations
Added 2 months ago
C/
BA and QA Tester (12 month contract)
CIRO / OCRI
Toronto, ON
- Full-time
Experience with databases, data mapping, and query & reporting tools - SQL
Added 2 months ago
CI
Manager, Delivery Data Science
Curinos Inc
Toronto, ON
- Full-time
…business strategy and technical execution - partnering closely with Data Science, Product, and Client Success teams to develop optimization strategies, support model governance, and drive…
Added 2 months ago
Senior Full-Stack Developer (Python/React) - Onboarding Team
AlayaCare
Montreal, QC
Extensive development experience with Python and unit testing using PyTest.
Added 2 months ago
S
Senior DevOps Engineer
SimCorp
Toronto, ON
- Full-time
Extensive Windows and Linux server administration skills, along with Oracle administration, PL/SQL, XML, and virtualization (VMware, Citrix)
Added 2 months ago
FC
Quality Assurance Analyst, Investly
Fidelity Canada
Toronto, ON
- Full-time
Hands-on experience with constructing SQL queries and testing APIs
Added 2 months ago
CG
Manager, Advanced Analytics & BI
Canada Goose
Toronto, ON
- Full-time
Strong experience with SQL, ETL development (SSIS, Azure Data Factory, or similar), and data warehousing methodologies such as Star Schema and Kimball
Added 2 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Factor us into your next career opportunity. We want you to grow with us and have an experience that’s different. This is a place where you can expect the unexpected.
Added 3 months ago
CR
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, Ontario
- Internship
Leverage your programming, model building, and database administration skills (including using Python, T-SQL, VBA, Excel, C#, and/or other programming languages and tools);
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Added 1 month ago
Data Analyst
Scotiabank
Toronto, ON
Working closely with business stakeholders, operations teams, finance partners, and technology teams, the position plays a key role in maintaining data integrity, supporting system…
Added 2 months ago
GS
Consultant, Technical Solutions
Grantek Systems Integration
Burlington, ON
- Full-time
Perform scripting and development using Python and SQL, minimizing unnecessary customization
Added 2 months ago
Senior PostgreSQL Database Engineer (Hybrid)
OpenTable
Toronto, ON
Proficiency in SQL and at least one programming or automation language such as Python, Go, or Bash.
Added 5 months ago
JA
Business Data Analyst (Capital Markets)
Jay Analytix
Toronto, ON
- Contract
The primary purpose of this position is to collaborate with Capital Markets (CM) business stakeholders, Quantitative & Technology Services (QTS) IT teams and Enterprise teams to facilitate…
Added 2 months ago
C
Java Full Stack Developer - React JS - Assistant Vice President
Citi
Mississauga, ON
- Full-time
The position is for a senior full-stack developer with 6-8 years of experience, specializing in building enterprise-scale applications. This role is suited for a strong React-focused full…
Added 3 months ago
MI
Actuarial Associate
Millennium Insurance Corporation
Sherwood Park, Alberta
- Full-time
Advanced proficiency in Excel and at least one analytical or programming language such as SQL, R, Python, SAS, or VBA
Added 3 months ago
SG
Lead Penetration Test Engineer
S&P Global
Toronto, Ontario
- $135,000 to $180,000 CAD / year
- Full-time
…complex security challenges. We are passionate problem solvers with deep security…
Added 1 month ago
Java Developer
Capgemini
Montreal, QC
We are looking for a strong java developer to join RIM team and help deliver key initiatives. The applicant should be a solid Java programmer, with strong design and implementation…
Added 3 months ago
Z
Senior Data Scientist - Computer Vision
zestyAI
Remote, Canada
- Full-time
- Remote
Proficiency in Python, with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly).
Added 3 months ago
F
Senior Director, Strategic Programs
Financeit
Toronto, Ontario
- $150,000 to $175,000 CAD / year
- Full-time
…managing complex data architectures, and leveraging tools like SQL, Python, Tableau, Power BI, Looker, etc. to drive strategic…

Amazon

Data Engineer I, Amazon Business Ops Analytics

Toronto, ON, Canada
Vancouver, BC, Canada

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Job details

Experience: 1+ years of data engineering experience
Posting language: English
Posted: Jul 14, 2026

Original job description

Amazon Business (AB) is re-inventing B2B eCommerce by offering business customers of all sizes the same advantages Amazon has already brought to consumers including broad selection, low pricing, and great customer service. WW Ops Amazon Business is building the operations and supply chain solutions that will enable AB’s rapid growth by re-engineering many parts of our supply chain to offer bulk, consolidated, pallet deliveries and many other services that business customers require. As an early team member, you will be involved in helping re-imagine what a B2B supply chain should look like and playing a key role in the technology that will power our supply chain.

Key job responsibilities
We seek a quick-learner who can quickly familiarize themselves with a fast-paced environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Flexibility, and an ability to prioritize will be key. Our team culture is goal-oriented, collaborative and driven to achieve results.

- Design and develop the data architecture, data standards, and end to end scalable data applications and data pipelines.
- Build and support the data warehouse & data lake platforms for data analyses, ML/AI model development, validation and implementation.
- Develop strong collaborative relationships with key partners in data engineering, software development, research, modeling and marketing teams
- Develop the team's data strategy and technical road map of data storage & pipelines design and implementation

About the team
Amazon Business (AB) launched in the United States in April 2015 with the vision of delivering a comprehensive procurement solution for business customers of all sizes. In the US, AB now serves Fortune 500 companies, hospital systems, local governments, and education organizations. To support AB's mission, the AB Operations team owns end to end customer experience for AB customers right from checkout to final mile delivery and sits under the broader Global Transportation Services (GTS). We are the Single Threaded WW Ops team driving B2B operations, developing products and programs unique to business customers, and enhancing the core Amazon delivery capabilities for commercial addresses. While Amazon has built its core operations over the last two decades mostly catered towards the end-consumer, we recognize that the business customers have unique needs and require a different set of features and services from their e-Commerce provider. Basic Qualifications: - 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, BC, Vancouver - 80,700.00 - 134,800.00 CAD annually
CAN, ON, Toronto - 80,700.00 - 134,800.00 CAD annually

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More about this job

Responsibilities

Design and develop scalable data architecture, standards, and end-to-end data pipelines to support business operations. Collaborate with cross-functional teams to build data warehouse and lake platforms for ML/AI model development and implementation.

Requirements

Requires at least 1 year of data engineering experience with proficiency in data modeling, warehousing, and ETL pipelines. Candidates must be skilled in query languages like SQL and scripting languages such as Python.

Skills

Data engineering
Data modeling
Data warehousing
ETL pipelines
SQL
Python
Data architecture
Data standards
Data lake platforms
Big data technologies
Hadoop
Hive
Spark
Data strategy
Technical road map

Benefits

Health insurance
Medical insurance
Dental insurance
Vision insurance
Prescription insurance
Basic life insurance
AD&D insurance
Deferred profit sharing plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Amazon Business
Supply Chain
Data Architecture
ETL
Data Warehouse
Data Lake
SQL
Python
Hadoop
Hive
Spark
Machine Learning
AI
Data Strategy
Pipelines
B2B
E-commerce
Operations
Data Modeling
Informatica
ODI
SSIS
Datastage
Cloud Computing

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