Building Science Careers

Belanger Engineering; Mississauga; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

Randstad Canada is seeking a Senior Data Science Developer to provide analytics support, build cloud-based data models, and develop robust data pipelines for clinical analytics priorities. You will analyze health databases, create analytic cohorts, and develop interactive visualizations for clinical partners.

Location: Toronto, ON, Hybrid - 3 days in office. This 7-month contract focuses on data privacy and best practices within a collaborative product delivery team.

Qualifications

• Experience with health data and public sector contexts.
• Proficiency in SQL, Python, Azure, and Power BI.
• Ability to query and link large administrative health databases.
• Experience building automated data pipelines and analytics products.
• Strong technical documentation and knowledge transfer skills.

Responsibilities

• Design and maintain scalable cloud-based data models and dashboards.
• Build automated data pipelines with SQL, Python, and Azure.
• Analyze large health databases and develop analytic cohorts.
• Conduct root-cause analysis and evaluate pipeline architectures.
• Collaborate with clinical partners to adopt cloud analytics tools.
• Develop data validation routines and technical documentation.
• Lead knowledge transfer sessions and document end-to-end architectures.

Skills

Health data

Public sector domain

Data analytics

Technical leadership

Documentation

Tools

Azure

Power BI

SQL

Python

Job description

Job Summary

We are seeking a skilled Senior Data Science Developer to provide technical analytics support, build cloud-based data models, and develop robust data pipelines for clinical analytics priorities. In this role, you will analyze large administrative health databases, build analytic cohorts, and create interactive data visualizations to support clinical partners. Working in a collaborative product delivery team, you will troubleshoot complex data engineering issues, maintain end-to-end analytics pipelines, and ensure strict alignment with data privacy guidelines and industry best practices.

Location: Toronto, ON (Hybrid - 3 days in office)

Duration: 7-month contract

Advantages

• High-Impact Healthcare Analytics: Build critical cloud data products and analytics dashboards that directly inform clinical decision-making.
• Modern Cloud & Data Stack: Gain hands-on experience leveraging Azure, Python, SQL, and Power BI in an enterprise setting.
• Complex Data Linkage: Deepen expertise in linking large administrative health databases and architecting advanced analytic cohorts.
• Flexible Hybrid Setup: Enjoy schedule balance with a structured, 3-day in-office hybrid working model.

Responsibilities

• Design, build, code, and maintain scalable cloud-based data models, interactive Power BI dashboards, and clinical reporting products.
• Write technical scripts and build automated data pipelines using SQL, Python, and Azure cloud technologies.
• Query, transform, and analyze large administrative health databases, including linking disparate datasets and building analytic cohorts.
• Conduct root-cause analysis on complex technical issues, evaluate alternate pipeline architectures, and recommend optimal data engineering solutions.
• Collaborate with project team members, technical staff, and clinical partners to support the adoption and effective use of cloud analytics tools.
• Develop data validation routines, conduct quality control checks, and deliver technical documentation, guidelines, and code repositories.
• Facilitate knowledge transfer sessions and document end-to-end data architectures for ongoing system sustainability.

Qualifications

• Health Data & Public Sector Domain: Demonstrated background working with health data and proven experience within a public sector or government context (Strictly Required).
• Core Technology Stack: Advanced proficiency and hands-on delivery experience with SQL, Python, Azure, and Power BI (Strictly Required).
• Health System Databases & Data Linkage: Extensive experience querying and linking large administrative health databases to build complex analytic cohorts (Strictly Required).
• Data Pipeline & Analytics Product Engineering: Proven track record developing and maintaining automated data pipelines, data models, and clinical reporting products (Strictly Required).
• Technical Documentation & Knowledge Transfer: Strong written and verbal communication skills to author technical guidelines, system documentation, and lead knowledge transfer sessions (Strictly Required).

Nice-to-Have Assets

• Direct experience with mental health and addictions clinical data concepts.
• Familiarity with healthcare privacy legislation (e.g., PHIPA) and data governance frameworks.
• Experience working within Agile product-team delivery environments.

Summary

Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.