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Senior Data Engineer Jobs in Toronto, ON (NOW HIRING)

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

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 ...

NimbleRx

Senior Data Engineer

Toronto, ON

As a Senior Data Engineer , you will own Nimble's data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations. The ...

ShyftLabs

Senior Data Engineer

Toronto, ON

The Opportunity ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

Senior Data Engineer Resume Due Date: Wednesday, June 25, 2025 (5:00PM EST) Number of Vacancies: 2 Level: MP4 upto $90/hr INC Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering ...

IKO Industries, Inc

Senior Data Engineer

Mississauga, ON · On-site

CA$130K - CA$140K/yr

As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing global operational demands, maintaining high data quality, and integrating diverse data sources. Navigate ...

iQmetrix

Senior Data Engineer

Toronto, ON · On-site

The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets. This role goes ...

BMO Capital Markets

Senior Data Engineer

Toronto, ON · On-site

CA$75K - CA$141K/yr

Technology About the team Data and AI Technology (DAT) Engineering supports BMO's Digital-First ... Experience interacting with senior leaders * Experience working in highly regulated industries ...

Bridgenext

Senior Data Engineer

Toronto, ON · Hybrid

CA$125K - CA$140K/yr

This is a blended Data Engineering and Data Modeling role responsible for designing enterprise data structures and engineering Azure-based data products that are reliable, scalable, and analytics ...

Propel Holdings

Sr. Data Engineer

Toronto, ON · Remote

Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues, improve definitions, and increase trust in critical business data * Document data models, lineage ...

Royal Bank of Canada

Sr Data Engineer

Toronto, ON · On-site

Manages data engineering projects or assignments of increasing complexity, scope and impact, applying professional judgment and expertise. What will you do? * Design, build, and review scalable data ...

Citi

Senior Data Engineer - Vice President

Mississauga, ON · On-site

CA$120K - CA$170K/yr

Citi is looking for a Senior Data Engineer at Vice President level to design and lead high-performance data warehouse solutions that power critical business decisions across a global financial ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Toronto, ON

Senior Data Engineer information

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

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

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

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

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

What cities near Toronto, ON are hiring for Senior Data Engineer jobs?

Cities near Toronto, ON with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Alpaca

Toronto, ON • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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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