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Remote Data Engineering Jobs in Toronto, ON (NOW HIRING)

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

At Alpaca, Data Engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design, build, and evolve the core ...

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 ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

... Engineering, AI, Analytics, and domain Subject Matter Experts (SMEs) to translate complex business ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

Morson Talent

25-026 DevOps Engineer

Toronto, ON · Remote

CA$80 - CA$100/hr

MP4 Hourly Rate: $80 - 100/hour Duration: 10 Months Hours of work: 35 Location: 700 University Avenue, Toronto (100% Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... engineers, data analysts and solution architects to develop data pipelines to feed our data ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · On-site +1

Must have: * 3+ years of hands-on data engineering experience. * Strong technical proficiency in: * Python: Production-quality code for data pipelines, automation, and scripting, including PySpark.

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 Location: 889 Brock Rd., Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be responsible ...

Morson Talent

25-125 FinOps Engineer

Pickering, ON · Remote

$80 - $95/hr

MP4, $80- $95/hr INC Duration: 12 Months Hours of work: 35 Location: (Hybrid - 1 day remote) Temp ... Data Engineering: Build and maintain ETL pipelines using Python to collect, transform, and ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

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Remote Data Engineering information

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

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

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

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

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

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Data Engineer

Alpaca

Toronto, ON • On-site, Remote

Full-time

Re-posted 10 days ago

Job description

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:

We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role: We are seeking a Senior Data Engineer to help design and build the next generation of our Data Platform as we continue to scale to larger customers and new jurisdictions. At Alpaca, Data Engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision making for both internal and external stakeholders. We process hundreds of millions of events daily, and this number continues to grow as we onboard new customers and products.

We prioritize open-source technologies in our data stack while leveraging Google Cloud Platform (GCP) as the foundation for our data infrastructure. This spans batch and stream ingestion, transformation, and consumption layers for BI/Reporting, AI/agent interfaces (MCP), and external third-party sinks. We also oversee data experimentation, cataloging, and monitoring/alerting systems.

Our team is 100% distributed and remote.

Responsibilities:

  • Design, build, and evolve the core data platform infrastructure e.g., distributed query engines, orchestration, warehousing, cataloging, and more.
  • Own our lakehouse infrastructure as code, managing deployments through Terraform and Ansible on Kubernetes.
  • Build and maintain low-latency streaming and CDC ingestion pipelines, as well as batch ingestion paths landing in Iceberg.
  • Develop and scale our BI landscape so downstream teams and agents get performant, self-serve access to lakehouse data.
  • Enforce platform reliability best practices, including monitoring and alerting, on-call rotations, incident response, maintenance windows, runbooks, and SLAs.
  • Partner with DevOps, Analytics Engineering, and other stakeholders to close infrastructure gaps and support new data requirements.

Must-Haves:

  • 5+ years of experience in Data Engineering, including 2+ years building and operating scalable, low-latency data platforms handling > 100M events/day.
  • Strong hands-on experience running data infrastructure on Kubernetes, with cloud-native tooling like Docker and Helm.
  • Production experience with IaC: Terraform, Ansible, and ArgoCD (or equivalents).
  • Deep knowledge of distributed systems (storage, transactions, and query processing) with hands-on experience operating open-source query engines like Trino or Presto.
  • Strong experience with object storage and open table formats, specifically Apache Iceberg.
  • Experience with streaming and CDC systems: Kafka, Redpanda, and Debezium.
  • Hands-on experience with orchestration frameworks (Airflow) and ELT tools (Airbyte).
  • Strong working knowledge of Python and SQL for building pipelines and platform tooling.
  • Experience with Google Cloud Platform and its data services (GCS, Cloud Build, Cloud SQL, Dataproc, etc); or related experience with other cloud services.
  • Ability to thrive in a fast-paced startup environment and adapt infrastructure to rapidly changing needs.

Nice to Haves:

  • Experience with semantic/metrics layers (Cube, dbt, Looker).
  • Familiarity with transformation frameworks (dbt).
  • Familiarity with reverse ETL tooling (Hightouch)
  • Familiarity with data catalog and lineage tooling (OpenMetadata, Datahub)
  • Experience with data access control and governance frameworks (Apache Ranger)
How We Take Care of You:
  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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