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Data Engineer Gcp Data Engineer Jobs in Toronto, ON

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 ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

Azure DevOps * Grafana and GCP Logging You don't need experience with every tool listed above - strong Data Engineering fundamentals and experience building production data platforms matter more than ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and ...

We are officially hunting for our next Data Engineer in Vaughan, ON-someone ready to bring fresh ideas and grow alongside a dynamic team. About Us GFL is one of the largest diversified environmental ...

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations ...

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations ...

Data Engineer ABOUT ODAIA ODAIA noun o · da · ia | 'oh-day-yeah An Ancient Greek word referring to "ōdē", the word for song, and the root of melody, harmony, and orchestra. We chose it ...

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure * Advanced ... Strong programming ability in languages commonly used in data engineering, such as Python, Java ...

Data Engineer

Toronto, ON · On-site

CA$85K - CA$135K/yr

We are seeking a highly skilled Data Engineer II to design, build, and scale robust data platforms that power analytics and product use cases. This role requires strong ownership in developing data ...

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization-one of Scotiabank's most significant enterprise wide strategic initiatives. This organization drives ...

The Role: The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization, one of Scotiabank's most significant enterprise wide strategic initiatives. This ...

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization-one of Scotiabank's most significant enterprise-wide strategic initiatives. This organization drives ...

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and maintaining data infrastructure and pipelines that enable scalable, data-driven outcomes. This role works ...

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC's Associate and AI Agent Platform . Your efforts will be critical to the reliability of ...

Data Engineer

Toronto, ON · Hybrid

CA$119K - CA$161K/yr

As a Data Engineer at Clio, you will build data pipelines from scratch, as well as make data sets accessible to our partner teams by writing great production code. We move quickly, work with new ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Toronto, ON?

For Data Engineer Gcp Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Toronto, ON are:

Full-time

Posted 24 days ago


Job description

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.

Summary of Position

The Data Engineer is responsible for designing, building, and maintaining reliable, scalable data pipelines and data infrastructure that support analytics, reporting, operational decisionmaking, and AIenabled 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 analyticsand AIready. 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.

Essential Duties and Responsibilities

  • Design, build, and maintain batch, incremental, and filebased 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 reimplementationof 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.

  • Support ingestion, storage, and management of unstructured and semistructured datasets (e.g., 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 analyticsand AIready datasets, including clean, welldefined tables and reference data used in automation and AIenabled solutions.

  • Collaborate closely with AI & Automation Specialists to ensure data requirements for AI initiatives are well understood, properly sourced, validated, and productionready.

  • Translate business and reporting requirements into scalable data models, transformations, and pipeline designs.

  • Develop and maintain trusted datasets that support dashboards, scorecards, client reporting, and downstream analytics.

  • 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 sourcetotarget 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.

Supervisory Responsibilities

No

QualificationsExpectedfor Position

  • 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.

  • Understanding ofdata 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 filebased or documentoriented data sources.

  • Familiarity with relational and cloudbased data platforms used for analytics and reporting.

  • Experience supporting data migrations, legacy system consolidation, or platform modernization initiatives.

  • Understanding of data quality, documentation practices, and foundational data governance principles.

  • Strong analytical and problemsolving skills, particularly in diagnosing data quality issues and pipeline failures.

  • Ability to collaborate effectively with both technical and nontechnical stakeholders, including analytics and AI delivery teams.

  • Strong written and verbal communication skills, with the ability to clearly document data flows, dependencies, and assumptions.

Salary Range

$110,000 to $140,000/year

Position Type

New Headcount

Work Environment

Office RemoteHybrid (Office & Remote)

Travel: 10&

Travel percentage reflects an estimate and is subject to change dependent on business needs.

Physical Requirements

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. 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.

About Us

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.

Job Description Acknowledgment

This job description is a general overview ofthe natureand level of work performed by employees with this job designation. Itis not intended to be a comprehensive list of all duties, responsibilities and qualifications required of this position. Management reserves the right to add, delete, and/or modify any of the job duties or requirements at any time. I acknowledge that I have read and understand the above job description. By signing this job description, I understand the duties that are expected of me.

Why Join Teladoc Health?

Impactful, Connected Healthcare: Support millions of Canadians across the country with accessible care within rural regions & provincial health systems, at no cost to patients.

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. Be a part of a growing team across Canada, that thrives on engagement, learning and growth.

Our Work Truly Matters: 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. We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position.

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. Our hiring team makes all final decisions.

At Teladoc Health we thrive on difference and individuality. Teladoc Health is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We are committed to fostering an inclusive, accessible environment, 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.com


Teladoc logo

About Teladoc

Sourced by ZipRecruiter

Industry

Fitness and sports centers

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

2002