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Added 59 mins ago
PT
Product Engineer
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Calgary, AB
- Full-time
Comfort with data. SQL is a plus. PostHog or Amplitude-style product analytics is table stakes. You can answer “is this feature actually being used” without asking anyone.
Added 59 mins ago
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- Full-time
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Director, Technical Support - Cybersecurity
Fortra
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- Full-time
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Database Platform Engineer
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Montreal, QC
- Full-time
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Sr. Fuil Stack Engineer, Threat Intelligence
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JAMS Platform Engineer
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Toronto, ON
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Added 16 hours ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement - Calgary
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Added 16 hours ago
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Senior DevOps Engineer – AI & Data Platform
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Canada
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Added 16 hours ago
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Added 16 hours ago
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Added 16 hours ago
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Senior Director, Pharmacy Experience and Transformation
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Added 16 hours ago
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Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
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Microsoft certifications such as Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
Added 16 hours ago
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Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
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Added 16 hours ago
QC
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Sanofi

Patient Experience iCare Exchange Integrations Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 16, 2026
Experience: Minimum 5 years of experience in data integration, data engineering, or similar roles.
Posting language: English
Posted: Oct 2, 2026

Original job description

Reference No. R2841709

Position Title: Patient Experience iCare Exchange Integrations Engineer
Department: Patient ENGINEERING Lead
Location: Toronto, ON - Hybrid - 3 days per week onsite - required.

About the Job

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale.

As a Patient Experience iCare Insights/Exchange Integrations Engineer at Sanofi, you will play a pivotal role in transforming patient data into actionable insights that drive better health outcomes. This position sits at the intersection of data engineering, analytics, and patient focused healthcare innovation. You will be responsible for designing and implementing robust data integration solutions that connect our iCare platforms with various data sources, ensuring seamless data flow while maintaining the highest standards of security and compliance. Your work will directly impact Sanofi's ability to deliver personalized patient experiences and support data-driven decision making across the organization.

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

Drive the design of conceptual data models for analytical reporting and talk-to-data solutions that enable meaningful patient insights.
Implement and maintain data security best practices across all systems, ensuring protection of sensitive patient information.
Guide development teams toward industry best practices and standards for data integration, quality, and governance.
Conduct periodic code reviews to ensure quality, performance, and compliance with established standards.
Provide DevOps enablement skills and support CI/CD processes to streamline development and deployment workflows.
Design, develop, and maintain data integration solutions using IICS, Snowflake, AWS, and other relevant technologies.
Ensure strict compliance with Data Privacy regulations, Patient Data Security protocols, GDPR requirements, and other regulatory frameworks including data residency requirements.
Collaborate with cross-functional teams including clinical, regulatory, IT, and business stakeholders to understand data needs and deliver appropriate solutions.
Optimize system performance and troubleshoot complex data integration issues.
Create and maintain comprehensive technical documentation for all integration solutions.
Support data governance initiatives to ensure data quality, consistency, and reliability.
Participate in architecture reviews and technical planning sessions to align integration strategies with business objectives.
Monitor and evaluate emerging technologies and methodologies to continuously improve data integration capabilities.
Develop and implement data validation processes to ensure accuracy and completeness of integrated data.
Ability to drive Drive Data Mesh adoption to empower business domains with decentralized data ownership while ensuring interoperability and governance at scale.
Deploy enterprise-grade agentic solutions using Snowflake Cortex to enable self-service analytics through conversational AI, natural language data exploration, and intelligent query assistance.
Good to have: Design multi-agent architectures incorporating Model Context Protocol (MCP), retrieval-augmented generation, vector embeddings, agent orchestration frameworks, and observability tools for enterprise-grade autonomous AI solutions.

About You

Bachelor's degree required; advanced degree (MS, MBA) preferred.
Minimum 5 years of experience in data integration, data engineering, or similar roles.
Expert-level proficiency in Informatica Intelligent Cloud Services (IICS), Python, Snowflake, and AWS cloud services and architecture.
Strong understanding of data security principles and implementation of security best practices.
Comprehensive knowledge of data privacy regulations including GDPR and healthcare data protection requirements.
Experience with data residency requirements and cross-border data transfer regulations.
Proficiency in SQL and database design principles.
Experience with CI/CD pipelines and DevOps practices.
Strong analytical and problem-solving skills.
Excellent communication skills and ability to translate technical concepts to non-technical stakeholders.
Ability to influence senior leadership and navigate complex stakeholder environments.
Advanced skills in Agile delivery, product collaboration, compliance, and digital strategy.
Fluent in English; an additional language is a plus.

Preferred Qualifications

Experience with SQLDBM for database modelling and documentation.
AWS certifications.
Snowflake certifications.
Experience in healthcare or pharmaceutical industry.
Knowledge of clinical data standards (CDISC, HL7, FHIR).
Experience with data visualization tools (Power BI, Tableau).
Background in implementing data governance frameworks.
Experience with master data management solutions.

Technical Skills Required

Data Integration: IICS, ETL/ELT methodologies, API integration.
Cloud Platforms: AWS (S3, Lambda, Glue).
Data Warehousing: Snowflake architecture, performance and cost optimization.
Programming: SQL, Python, Shell scripting.
Security: Data encryption, access controls, authentication mechanisms.
DevOps: CI/CD pipelines, Infrastructure as Code, containerization.
Data Modelling: Conceptual, logical, and physical data modelling.
Version Control: GitHub/GitLab.
Documentation: Technical writing, data dictionaries, process flows.

Why Choose Us?

Bring the miracles of science to life alongside a supportive, future-focused team.
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

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

This position is for a new vacant role that is now open for applications.

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 diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, 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

#DBBCA

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:

102,600.00 - 152,600.00 (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:

102,600.00 - 152,600.00 (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

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More about this job

Responsibilities

Design and implement robust data integration solutions connecting iCare platforms with various data sources to ensure seamless data flow. Collaborate with cross-functional teams to transform patient data into actionable insights while maintaining strict security and compliance standards.

Requirements

Requires a bachelor's degree and at least 5 years of experience in data integration or engineering. Candidates must possess expert-level proficiency in IICS, Python, Snowflake, and AWS cloud services.

Skills

Informatica Intelligent Cloud Services
Snowflake
Python
AWS
Data integration
Data engineering
SQL
Data security
CI/CD
DevOps
Data modeling
Data governance
GDPR
API integration
Cloud architecture
Data mesh

Benefits

Health insurance
Prevention and wellness programs
Growth opportunities
Rewards package

Visa sponsorship

Not detected in the job text

Keywords

IICS
Snowflake
Python
AWS
Data integration
Data engineering
SQL
Data security
GDPR
CI/CD
DevOps
Data mesh
Snowflake Cortex
Conversational AI
Data governance
Data modeling
API
Healthcare
Pharmaceutical
Clinical data
HL7
FHIR
Power BI
Tableau
Master data management
Agentic solutions
Retrieval-augmented generation
Vector embeddings
Observability
Data residency

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