Data & AI Engineer - Real World Data and Healthcare Intelligence

Description

Reference number R2874546. The company is a research-driven biopharmaceutical business that uses AI to discover and develop medicines and vaccines for people worldwide.

This corporate-function role is a current opening that the company is actively filling, and the team works on data and AI engineering.

Responsibilities

• Own the full back end: core application logic, databases, data ingestion and transformation, pipeline orchestration, APIs, CI/CD integration and related processes.
• Build and manage microservices in Python.
• Design and refine ETL and data pipelines so they balance speed, functionality and operational needs.
• Tune queries on Snowflake and related databases.
• Find and fix pipeline problems so runs stay fast and on schedule.
• Design the application to serve many concurrent users with strong performance during peak periods.
• Help set up and manage CI/CD pipelines and write automated tests.
• Support technical solution discovery to confirm what can be built.
• Review peers' code for quality, consistency and rigor in production-grade work.
• Set best practices for code management, automated testing and deployment.
• Take part in every stage of the product lifecycle: design, development, testing, deployment, operation and support.
• Write detailed Confluence documentation so the codebase can be supported and maintained.

Requirements

• 3+ years of relevant experience building backend, integration, data pipeline and infrastructure systems.
• Bachelor's degree in computer science, engineering or a similar quantitative field (required).
• Deep skill in database optimization and performance improvement.
• Strong working knowledge of Python, PySpark and Snowpark.
• Experience with data warehouses and object-relational databases, specifically Snowflake and PostgreSQL, and writing efficient SQL.
• Experience with cloud-based data platforms, including Snowflake and AWS.
• Ability to build robust, reliable APIs with Python and the FastAPI framework.
• Solid grasp of data structures and algorithms.
• Experience with modern testing frameworks such as SonarQube (K6 is a plus).
• Good collaboration skills, with a willingness to work with others to integrate server-side and client-side code smoothly.
• DevOps knowledge is a plus, including setup, configuration, maintenance and troubleshooting of: containers and containerization (Kubernetes, Argo, Red Hat OpenShift), infrastructure as code (Terraform), monitoring and logging (CloudWatch, Grafana), CI/CD pipelines (JFrog Artifactory), and scripting and automation (Python, GitHub, GitHub Actions).

Conditions

Location: Toronto, Canada, hybrid, with 3 days per week onsite (required).

Open to North America applicants only.

Applications received after the official close date will be reviewed on a case-by-case basis.

Base pay range: 100,500.00 - 150,500.00, including target bonus; final pay depends on demonstrated experience, skills, location and other relevant factors.

The company offers equal opportunity to all, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

The company uses AI tools in hiring, such as resume screening and interview scheduling, and you can direct questions about your personal data to Human Resources or Canada's Privacy Officer via the data subject request portal.

Benefits

• Employees may be eligible for the company's benefit programs, with details available on its Canadian or US benefits pages.