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Data engineer Jobs in Toronto, ON

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Data engineer • toronto on

Last updated: 4 days ago

Data Engineer

Glint Tech Solutions LLCToronto, ON, Canada
Full-time
Quick Apply

We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team.The role focuses on building and optimizing large-scale cloud data systems with Spark/Py... Show more

Data Engineer

Inizio Partners CorpToronto, ON, Canada
Remote
Full-time
Quick Apply

Job Title: Consultant Data Engineer.We're looking for a Senior Data Engineer with strong data platform experience to help with support of existing AWS/dbt platform and that can help with standing u... Show more

Senior Data Engineer

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
Full-time

The Senior Data Engineer bridges analytical expertise and engineering capabilities within the US Mortgage Technology group.This role leads end-to-end data solutions—from requirements gathering thro... Show more

Data Engineer

ExcelGens, Inc.Toronto, ON, Canada
Full-time
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Role: Data Engineer</b></p> <p style="margin-left:48px"><b>Location & work model: Toronto, ON - Hybrid (2-3 days onsite per week)</b></p> <p s... Show more

Senior Data Engineer

MiratechToronto, Ontario, Canada
Remote
Full-time

IVR and contact center platform.The role is focused on backend database engineering and is aimed at building reliable, high-performing, and scalable data layers that support both runtime IVR system... Show more

Data Engineer

OSCCA ON Toronto
Full-time

Business UnitRegular, Full timeClosing Date: June 12, 2026.The Ontario Securities Commission (OSC) is the statutory body responsible for regulating Ontario’s capital markets in accordance with the ... Show more

Data Scientist/Data Engineer

hireVouchToronto, Ontario, USA
Full-time

Data Scientist (AI & Data Engineering) – External Data & Intelligent Insights.Our client is a global real estate investor, developer, and manager connects people to exceptional places across the of... Show more

GenAI Data Engineer

Tiger Analytics Inc.Toronto, ON, CA
Remote
Full-time
Quick Apply

Tiger Analytics is a fast-growing advanced analytics consulting firm.Our consultants bring deep expertise in Data Science, Machine Learning and AI.We are the trusted analytics partner for several F... Show more

Data Engineer

Goldenpick TechnologiesToronto, ON, Canada
Full-time
Quick Apply

Project description</b></div> <ul> <li>We are seeking a hands-on Data Engineer to support the Total Fund Management Portfolio Management Technology team.This role focuses on... Show more

Data Engineer

The Toronto-Dominion Bank (Canada)Toronto, Ontario
Full-time

We are seeking a Senior Data Engineer with deep, hands-on experience in Databricks, Apache Spark, and Python to design, build, and operate scalable, secure, and analytics-ready data platforms on Mi... Show more

Data Engineer

Randstad CanadaEtobicoke, Ontario, CA
Full-time +1
Quick Apply

We are seeking a highly skilled Data Engineer for a permanent role to lead the design and implementation of robust data pipelines and advanced analytics models.In this position, you will be the bac... Show more

Senior Data Engineer

FusemachinesToronto, ON, CA
Full-time
Quick Apply

About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI.Leveraging proprietary AI Studio and AI Engines, the com... Show more

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Data Engineer

Data Engineer

Glint Tech Solutions LLCToronto, ON, Canada
6 days ago
Job type
  • Full-time
  • Quick Apply
Job description

We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team. The role focuses on building and optimizing large-scale cloud data systems with Spark/PySpark and modern storage formats.

KEY RESPONSIBILITIES

Develop and optimize Spark workloads in cloud environments Work with

large datasets using Parquet and Iceberg

Translate requirements into robust engineering solutions

Ensure performance, reliability, and maintainability

Contribute to monitoring, documentation, and deployment

MUST HAVE

Strong Python and PySpark

Hands-on Apache Spark, cloud preferred

Databricks experience

Large-scale data systems expertise

Client-facing delivery background

Independent problem-solving in ambiguous settings

NICE TO HAVE

AWS Glue and Lake Formation

Airflow and orchestration tools

Distributed data architectures

Capital markets exposure