Data Engineer jobs in Canada

Updated: February 12, 2026
Location: Toronto, ON Canada
Job ID: 25105623-OTHLOC-1510-2DR

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.

Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives.

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.

• Act as a hands‑on technical lead who not only defines the architecture but also codes, deploys, and maintains scalable ETL pipelines and data structures.
• Spearhead the technical implementation of the Translational Data Lake data ingestion, managing the ingestion of complex datasets (genomics, proteomics, imaging, lab data, etc.) into modern cloud architectures.
• Broader Research Integration: Lead data engineering projects beyond the Data Lake, designing bespoke integration solutions for diverse scientific data sources across the Research organization.
• Data Transformation: Design and script automated procedures to normalize unformatted data from external vendors (CROs) into a structured Common Data Model (CDM).
• Technical Collaboration: Partner with various functions in Research and IT to align infrastructure with scientific needs, ensuring solutions are robust, FAIR‑compliant, and scalable.
• Develop and communicate the technical vision for biomarker data integration and reuse.
• Architect and implement scalable ETL procedures, APIs and front‑end tools for data access and visualization.
• Engage stakeholders to gather requirements and incorporate feedback into design.
• Lead user acceptance testing (UAT) and ensure high‑quality deliverables.
• Collaborate with IT and Translational leads to align infrastructure and governance processes.
• Champion FAIR principles and interoperability across translational and clinical programs.

• Education: Bachelor’s or master’s degree in computer science, Data Engineering, Bioinformatics, or related field.
• Experience: 8+ years of professional experience in data engineering or software architecture, with a focus on building production‑grade data pipelines.
• Expert‑level coding proficiency in Python with specific mastery of modern data engineering libraries (Pandas, PySpark, Dask, SQLAlchemy).
• Advanced proficiency with SQL, workflow orchestration tools (Airflow, Dagster, or Prefect), and containerization (Docker/Kubernetes).
• Cloud Architecture: Deep experience with modern Data Lake and Lakehouse architectures (e.g., Azure Fabric, Databricks, Snowflake), with a proven track record of connecting and integrating disparate data sources.
• Data Modeling: Solid understanding of data modeling, ETL processes, and schema design for complex datasets.
• API Development: Experience designing and deploying APIs for data access.
• Excellent communication skills to bridge the gap between IT infrastructure and scientific stakeholders.
• Familiarity with FAIR principles and metadata standards for scientific data.
• Excellent communication and collaboration skills.

• Familiarity with clinical data standards including SDTM, ADaM, and CDISC, and biomarker data formats (NGS variant results, flow cytometry, serum proteomics, gene expression profiling).
• Direct experience with Azure Fabric tools for connecting and integrating data sources.
• Proficiency in R for interoperability with bioinformatics teams.

At Syneos Health, we believe in providing an environment and culture in which our people can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality‑of‑life balance. The benefits for this position may include a company car or car allowance, health benefits (medical, dental and vision), company match 401k, eligibility to participate in employee stock purchase plan, eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

Salary Range:

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.

Over the past 5 years, we have worked with 94% of all novel FDA‑approved drugs, 95% of EMA authorized products and over 200 studies across 73,000 sites and 675,000+ trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever‑changing environment. Learn more about Syneos Health.