Teladoc Health is the global virtual care leader, offering comprehensive virtual care solutions spanning virtual care including primary, mental health, expert medical, devices and licensed platform services.

Teladoc

Health serves the world’s leading insurers, employers, and health systems and helps millions of people around the world resolve their healthcare needs with confidence. Serving over 9 million Canadians, Teladoc Health has been in Canada for more than 20 years and operates in 175 countries world-wide.

The Data

Engineer is responsible for designing, building, and maintaining reliable, scalable data pipelines and data infrastructure that support analytics, reporting, operational decision‑making, and AI‑enabled initiatives across Teladoc Health Canada. This role focuses on enabling data integration and migration efforts, ensuring data from multiple source systems—both structured and unstructured is consistently ingested, transformed, validated, and made analytics‑and AI‑ready.

The Data

Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data quality, documentation, and alignment with enterprise standards. Design, build, and maintain batch, incremental, and file‑based data pipelines to support analytics, reporting, and operational use cases. Support data migration initiatives, including the movement of data from legacy systems to modern platforms, ensuring continuity, accuracy, and reconciliation.

Work with enterprise data integration tools such as Talend, including maintaining existing Talend jobs and supporting the migrationor re‑implementationof Talend pipelines into other platforms where required. Establish and maintain a robust data engineering environment (e.g., dev/test/prod separation, access controls, naming standards, source control, deployment processes, and monitoring) that enables reliable delivery and safe change management. documents, PDFs, text extracts, files, metadata) alongside traditional relational data. Support and optimize data modelsin Power BI dashboards and Ai-enabled analytics.

Prepare and curate analytics‑and AI‑ready datasets, including clean, well‑defined tables and reference data used in automation and AI‑enabled solutions. Collaborate closely with AI & Automation Specialists to ensure data requirements for AI initiatives are well understood, properly sourced, validated, and production‑ready. Translate business and reporting requirements into scalable data models, transformations, and pipeline designs.

Implement data quality checks, validation logic, reconciliation processes, and monitoring toensure datareliability and consistency.



Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers, identifying root causes and remediation actions. Develop and maintain clear documentation, including source‑to‑target mappings, data definitions, data lineage, and known limitations.

Work in partnership with analytics, IT, data governance, and security stakeholders to ensure data solutions comply with privacy, security, and regulatory expectations. Contributeto the prioritization, planning, and delivery of multiple data engineering, migration, and enablement initiatives in parallel. Bachelor’s Degree in Computer Science, Information Technology, Data Analytics or related field ~4+ year experience working in data engineering, analytics engineering, business intelligence, or data platform roles. ~4+yearsExperiencewith data integration and ETL/ELT tools (e.g., Talend, Azure Data Factory, or similar enterprise platforms). ~ Experience with Microsoft Power Automate (or similar workflow automation tools) to orchestrateprocess automation, notifications, and data movement/integration. ~ Proficiency with Python (or similar scripting languages) for data transformations, automation, API integrations, and lightweight tooling. ~ Understandingofdata orchestration and scheduling patterns, including dependency management,retries, and operational runbooks for production pipelines. ~ Experience implementing data quality and observability practices (e.g., validation rules, monitoring/alerting, SLAs) to ensure reliable and trusted datasets. ~ Working knowledge of secure data handling and privacy‑by‑design principles (e.g., least‑privilege access, encryption, PHI/PII considerations) when building and operating data pipelines. ~ Strong SQL experience for data transformation, validation, reconciliation, and performance tuning. ~ Experience with Power BI (data modeling, DAX fundamentals, and performance considerations) to support scalable dashboards and self‑serve analytics. ~ Experience working with both structured and unstructured datasets, including file‑based or document‑oriented data sources. ~ Familiarity with relational and cloud‑based data platforms used for analytics and reporting. ~ Experience supporting data migrations, legacy system consolidation, or platform modernization initiatives. ~ Understandingsfor data quality,



documentation practices, and foundational data governance principles. ~ Strong analytical and problem‑solving skills, particularly in diagnosing data quality issues and pipeline failures. ~ Ability to collaborate effectively with both technical and non‑technical stakeholders, including analytics and AI delivery teams. ~ Strong written and verbal communication skills, with the ability to clearly document data flows, dependencies, and assumptions.

Office Remote

Hybrid (Office & Remote) Travel:≤ 10& Travel percentage reflects an estimate and is subject to change dependent on business needs. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions.

Teladoc

Health will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual in line with company policy.

Teladoc

Health is the global virtual care leader, offering the only comprehensive virtual care solution spanning telehealth, expert medical, and licensed platform services.

Teladoc

Health serves the world’s leading insurers, employers, and health systems and helps millions of people around the world resolve their healthcare needs with confidence.

Focus on Quality & Safety: Upholding the highest excellence of clinical quality standards is paramount to Teladoc Health. Collaborative, Supportive Network: Our diverse community is dedicated to transforming healthcare in Canada. Recognized as the world leader in whole-person virtual care, Teladoc Health uses innovative platforms to provide accessible care across the full continuum of care, at every stage in a person’s health journey.

Growth and Innovation: We are growing rapidly - Come grow with us and support our expanding mission to make healthcare more accessible.

Diversity and Inclusion: At Teladoc Health we believe that personal and professional diversity is the key to innovation.

Teladoc Health

Canada, Inc. uses artificial intelligence-assisted tools as part of our recruitment process, including to screen and evaluate candidates. These tools support, but do not replace, human judgment. We are committed to fostering an inclusive, accessible workplace, where all employees and customers feel valued, respected and supported.

We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for any stage of the recruitment process / interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please reach out to us at RecruitmentAccessibilityRequestsCanada@teladochealth.

📌 Data Architect Data Analytics (Toronto)
🏢 Teladoc Health
📍 Toronto