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Remote Startup Data Engineer Jobs in Ontario (NOW HIRING)

Alpaca

Senior Data Engineer

Toronto, ON · On-site +1

Our team is 100% distributed and remote. Responsibilities: * Design, build, and evolve the core ... Ability to thrive in a fast-paced startup environment and adapt infrastructure to rapidly changing ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

  • Medical

  • Retirement

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

MP4, $80/hr - $95/hr INC Duration: 11 Months Hours of work: 35 hours Location: 1908 Colonel Sam Drive, Oshawa (Hybrid - 3 days remote) Job Overview As an Azure and Databricks Data Engineer, you will ...

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 ...

Mercor

Data Engineer - AI Coding Expert

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 ...

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

  • Medical

  • Retirement

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ...

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 ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

MP4 upto $90/hr INC Duration: 12 Months Hours of work: 35 Location: 889 Brock Road, Pickering (Hybrid - 4 days remote) Job Overview As a Senior Data Developer, you will be responsible for building ...

Takeaway

Senior Manager - Data Engineering

Toronto, ON · On-site +1

CA$120K - CA$160K/yr

Winnipeg/Toronto Remote Reporting to: Associate Director of Data & Insights These are some of the ... Partner with the Lead Data Engineer on system design of our application databases and services ...

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All JobsStartup Data Engineer JobsRemote Startup Data Engineer JobsRemote Startup Data Engineer Jobs in Ontario

Remote Startup Data Engineer information

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

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are the most commonly searched types of Startup Data Engineer jobs in Ontario?

The most popular types of Startup Data Engineer jobs in Ontario are:

What are popular job titles related to Remote Startup Data Engineer jobs in Ontario?

For Remote Startup Data Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Startup Data Engineer jobs in Ontario look for?

The top searched job categories for Remote Startup Data Engineer jobs in Ontario are:

What cities in Ontario are hiring for Remote Startup Data Engineer jobs?

Cities in Ontario with the most Remote Startup Data Engineer job openings:

Remote Startup Data Engineer jobs near you
Infographic showing various Remote Startup Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

Alpaca

Toronto, ON • On-site, Remote

Full-time

Re-posted 8 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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