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Remote Gcp Data Engineer Jobs in Toronto, ON (NOW HIRING)

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

... GCP . * Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ... Experience deploying and operating data infrastructure on major cloud platforms such as AWS, GCP ...

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure * Advanced ...

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

... GCP) as the foundation for our data infrastructure. This spans batch and stream ingestion ... Our team is 100% distributed and remote. Responsibilities: * Design, build, and evolve the core ...

Odaia Intelligence Inc.

Data Engineer

Toronto, ON · Remote

Data Engineer ABOUT ODAIA ODAIA noun o · da · ia | 'oh-day-yeah An Ancient Greek word referring ... ODAIA is a remote first organization, all our positions are WFH with frequent company and team ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · On-site +1

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You'll Do: * Majority of the role will be data engineering: tables, views, jobs/pipelines, and ...

Fluent, LLC

Data Engineer (Databricks)

Toronto, ON · Remote

This role is fully Remote in the United States or Canada, with occasional travel to NYC. What You'll Do: * Majority of the role will be data engineering: tables, views, jobs/pipelines, and ...

Total Performance Consulting

Data Engineer

Toronto, ON · Remote

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Mercor

Data Engineer - AI Model Evaluator

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Mercor

Data Engineer - AI Model Evaluation

Toronto, ON · Remote

CA$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Equinix

Product Manager

Toronto, ON · Remote

... engineer and optimize the underlying data structures, APIs, and algorithmic logic that power automated decision-making and fuel enterprise workflows within a modern Google Cloud Platform (GCP ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

Data Engineer Location: Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem is transforming global money movement. Traditional cross-border payments ...

JLL

Senior Data Engineer

Toronto, ON · Remote

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

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Remote Gcp Data Engineer information

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What are the most commonly searched types of Gcp Data Engineer jobs in Toronto, ON?

The most popular types of Gcp Data Engineer jobs in Toronto, ON are:

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

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

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

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

Remote Gcp Data Engineer jobs near you

Senior Data Engineer ( Databricks/Snowflake)

Talent To Hire Inc.

Toronto, ON • Remote

Full-time

Re-posted 9 days ago

Job description

Senior Data Engineer

We are hiring a Senior Data Engineer to join a high-impact Data & Analytics team supporting enterprise data platforms. This is a hands-on role for someone who can own end-to-end data initiatives, from design through deployment, and build scalable data solutions that drive business insights and decision-making. What We’re Looking For is hands-on practical knowledge with modern cloud data platforms (Databricks, Snowflake).

We are specifically seeking candidates who demonstrate:

  • True senior-level autonomy – ability to independently own and lead complex data initiatives end-to-end with minimal oversight

  • Deep, hands-on expertise across the full data lifecycle – including source systems, ingestion, transformation, data modeling, orchestration, and downstream consumption, with full accountability for production-ready solutions

  • Strong system-level thinking – able to design scalable, reliable data architectures beyond just tools and frameworks

  • Ownership mindset – takes responsibility for delivery, quality, and performance in production environments

  • Experience working within Canadian business environments ( financial services / Asset Mgmt. Wealth Mgmt.)

You will play a key role in building modern data pipelines, enabling analytics, and supporting data-driven products.

What You’ll Do

  • Partner with business stakeholders and data teams to gather and translate requirements into scalable solutions

  • Design and implement robust data architectures and workflows

  • Build and maintain ETL/ELT pipelines across multiple data sources

  • Develop high-performance, scalable data pipelines for analytics and reporting

  • Own full lifecycle delivery: design, build, test, deploy

  • Troubleshoot production issues and ensure data reliability and system stability

  • Implement data governance, lineage, and observability best practices

  • Support data migrations to modern cloud platforms (Snowflake / AWS / Databricks)

  • Mentor junior team members and contribute to a high-performing team environment

Tech Stack / Requirements

  • 7+ years in Data Engineering

  • Strong experience with:

    • SQL, Python, APIs, CDC pipelines

    • Cloud platforms: AWS / Azure / GCP

    • Data platforms: Snowflake, Databricks, PySpark

    • ETL tools: AWS Glue, EMR, Lambda

    • Scheduling: Airflow, CRON, Step Functions

    • Databases: PostgreSQL, MySQL, DynamoDB

    • Storage: AWS S3, SFTP

    • CI/CD: Git, Jenkins, Terraform, CloudFormation

What We’re Looking For

  • Strong understanding of modern data architecture & pipeline design

  • Experience building scalable, production-grade data systems

  • Solid experience with data observability and lineage

  • Proven ability to own projects end-to-end

  • Strong communication and stakeholder collaboration skills

Nice to Have

  • Experience in financial services / wealth / capital markets

  • Experience with large-scale data migration projects

Why Join

  • High-impact role with end-to-end ownership

  • Work on modern cloud data platforms

  • Collaborative, growth-oriented environment

  • Opportunity to shape data architecture and strategy

Location

Downtown Toronto (Hybrid -4 days onsite)

Apply: sasha@talenttohire.com