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Sanofi

Data & AI Engineer - Real World Data and Healthcare Intelligence

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 7, 2026
Education: Bachelor’s degree
Experience: 3+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
Posting language: English
Posted: Oct 29, 2026

Original job description

Reference Number: R2874546

Position Title: Data & AI Engineer

Location: Toronto, CA - Hybrid - 3 days per week onsite - required.

About the Job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

Ownership of the entire back end of the application including the design, implementation, test, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes
Fine-tune and optimize queries using Snowflake platform and databases techniques
Optimize ETL/data pipelines to balance performance, functionality, and other operational requirements
Assess and resolve data pipeline issues to ensure performance and timeliness of execution
Assist with technical solution discovery to ensure technical feasibility
Assist in setting up and managing CI/CD pipelines and development of automated tests
Developing and managing microservices using python
Conduct peer reviews for quality, consistency, and rigor for production level solution
Design application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periods
Promote best practices and standards for code management, automated testing, and deployments
Own all areas of the product lifecycle: design, development, test, deployment, operation, and support
Create detail documentation on Confluence to be able to support and maintain codebase and its functionality

About You

Required Qualifications:

3+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
Bachelor’s degree in computer science, engineering, or similar quantitative field of study - required.
Expertise in database optimization and performance improvement
Expertise in Python, PySpark, and Snowpark
Experience data warehouse and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queries
Experience in cloud-based data platforms (Snowflake, AWS
Proficiency in developing robust, reliable APIs using Python and FastAPI Framework
Understanding of data structures and algorithms
Experience in modern testing framework (SonarQube, K6 is a plus)
Strong collaboration skills, willingness to work with others to ensure seamless integration of the server-side and client-side
Knowledge of DevOps best practices and associated tools, a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools: Containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift), Infrastructure as code (Terraform), Monitoring and Logging (CloudWatch, Grafana), CI/CD Pipelines (JFrog Artifactory), Scripting and automation (Python, GitHub, Github actions)

This position is for a current vacant role that we are actively hiring for.

Applications received after the official close date will be reviewed on an individual basis.

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,  Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to culture, inclusion, and experience. Our goal is to attract, develop and retain highly talented employees, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

#GD-SP

#LI-SP

#DBBCA

#LI-Onsite

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

100,500.00 - 150,500.00 (Includes target bonus)

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.

La fourchette salariale pour ce poste est la suivante:

100,500.00 - 150,500.00 (Comprend le bonus cible)

La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien

Apply About employer

More about this job

Responsibilities

The role involves owning the backend application lifecycle, including design, implementation, and troubleshooting of core logic, databases, and data pipelines. You will also optimize ETL processes, manage microservices, and ensure high-performance application architecture.

Requirements

Candidates must have at least 3 years of experience in backend development, data pipelining, and infrastructure management. A bachelor's degree in computer science, engineering, or a related quantitative field is required.

Skills

Python
PySpark
Snowpark
Snowflake
PostgreSQL
SQL
FastAPI
Data pipelines
ETL
CI/CD
Kubernetes
Terraform
Grafana
CloudWatch
Microservices
Data structures

Benefits

Employee benefits programs

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Biopharma
Backend Development
Data Ingestion
Data Transformation
Orchestration
APIs
CI/CD
Snowflake
ETL
Python
PySpark
Snowpark
PostgreSQL
SQL
FastAPI
Microservices
Kubernetes
Argo
Red Hat OpenShift
Terraform
CloudWatch
Grafana
JFrog Artifactory
GitHub
SonarQube
K6
Data Warehouse
Infrastructure as Code

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