Data engineer jobs in Toronto, ON and nearby

Within 25 km

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Added 1 month ago
B
Senior Data Engineer
BMO
Toronto, ON
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 1 month ago
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Data Engineer I
Docebo
Toronto, ON
- $68,600 to $91,500 CAD / year
- Full-time
As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture…
Added 1 month ago
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Senior Data Engineer
Tactable
Toronto, ON
- Full-time
The Role: Senior Data Engineer (Cloud, Python)
Added 1 month ago
AL
AWS Cloud Data Engineer / Toronto, ON / Onsite / Full-Time (FTE)
AceStack LLC
Toronto, ON
- Full-time
We are seeking an experienced AWS Cloud Data Engineer with strong expertise in data engineering, data warehousing, and AWS cloud technologies. The ideal candidate will have hands-on…
Added 1 month ago
BI
Data Engineer
BALLY’S INTRALOT SA
Toronto, ON
- Full-time
We’re seeking a passionate Data Engineer who is experienced in data engineering and has a solid understanding of data warehousing, cloud-based solutions, and data pipeline development.…
Added 2 months ago
JG
Data Engineer
J&M Group
Toronto, ON
- Full-time
An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on…
Added 2 months ago
JG
Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
Resource have strong data warehouse technical knowledge.
Added 2 months ago
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Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON
- Full-time
Custom Solutions. Engineer data services and APIs that close gaps between Aladdin native functionality and what our investment, risk, performance, and finance teams require.
Added 2 months ago
O
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON
- Full-time
…book of record with BlackRock Aladdin and building a new cloud data platform on Snowflake. We are not looking for someone to simply complete tickets. We are looking for a future senior…
Added 2 months ago
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Staff Data Engineer
MaintainX
Toronto, ON
- Full-time
We are seeking a Staff Data Engineer to join our growing team. Our data platform spans a wide surface area: infrastructure, CDC streaming, Databricks operations and runtime, data pipelines,…
Added 2 months ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The…
Added 2 months ago
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Data Engineer - Sports & Prediction Markets
Betstamp
Toronto, ON
- Full-time
Prediction market traders get the raw feed by API: sub-second data on every market we cover, benchmarked against the full spread of books and exchanges.
Added 2 months ago
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Market Data Engineer - Prediction Markets & Odds Infrastructure
Betstamp
Toronto, ON
- Full-time
Prediction market traders get the raw feed by API: sub-second data on every market we cover, benchmarked against the full spread of books and exchanges.
Added 2 months ago
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Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 2 months ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 2 months ago
JG
DataOps/Cloud Data Engineer
J&M Group
Toronto, ON
- Full-time
Experience with Cloud data engineer must be familiar and experienced with different programming languages (Python, SQL, t-SQL, PL/SQL, Informatica, ADF, SSIS. Microsoft Fabric) and be able…
Added 5 months ago
PS
Senior Data Engineer
Pacific Smoke International Inc
Markham, ON
- $80,000 to $120,000 CAD / year
- Full-time
…who build, design, and support it. We’re looking for a Senior Data Engineer to join our scaling…
Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
…leverage AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines…
Added 2 months ago
PH
Sr. Data Engineer
Propel Holdings
Toronto, ON
- Full-time
You are a talented professional looking for a career, not a job. Reporting to the Director, Data Platform, you will be responsible for developing and troubleshooting Stored Procedures, SQL,…
Added 2 months ago
ZI
Senior Data Engineer
ZenaTech Inc.
Toronto, ON
- $115,000 to $130,000 CAD / year
- Full-time
The Senior Data Engineer, Operations will build and own the consolidated operational data model that everything else depends on. Every acquired firm arrives with its own accounting,…
Added 2 months ago
JG
Data Engineer
J&M Group
Toronto, ON
- Contract
6 8+ years in production data pipeline L1/L2 support.
Added 2 months ago
SH
Data Engineer
Spectrum Health Care
Toronto, ON
- Full-time
Are you a Data Engineer with experience building cloud-based data solutions and transforming healthcare data into actionable insights? At Spectrum Health Care (Spectrum), we're building a…
Added 2 months ago
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Data Engineer
BrainStation
Toronto, ON
- $90,000 to $125,000 CAD / year
- Full-time
As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks,…
Added 2 months ago
Senior Data Engineer
Scotiabank
Toronto, ON
Must have 5+ years of experience in Cloud: Azure · Must have 5+ years of experience in Lakehouse: Databricks
Added 2 months ago
C
Data Engineer
Citi
Mississauga, ON
- Full-time
…developing, optimizing, and operating large-scale batch and real-time data-processing platforms at an enterprise scale. The position requires a candidate who can combine deep technical…

AceStack LLC

AWS Cloud Data Engineer / Toronto, ON / Onsite / Full-Time (FTE)

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Experience: 10+ Years
Posting language: English
Posted: Sep 14, 2026

Original job description

Job Title: AWS Cloud Data Engineer

Location: Toronto, ON

Work Model: Onsite

Employment Type: Full-Time (FTE)

Experience: 10+ Years

Job Overview

We are seeking an experienced AWS Cloud Data Engineer with strong expertise in data engineering, data warehousing, and AWS cloud technologies. The ideal candidate will have hands-on experience building scalable data platforms, developing ETL/ELT pipelines, and supporting large-scale data migration and modernization initiatives, particularly within the Banking and Financial Services domain.

The role will focus heavily on modernizing legacy IBM Netezza workloads and migrating data platforms to AWS-based data lake and data warehouse architectures.

Required Technical Skills

Strong experience in Data Engineering, Data Warehousing, and AWS Cloud
Amazon S3 – Data Lake architecture and implementation
AWS Glue – ETL/ELT development
AWS Lambda – Serverless data processing
Amazon Redshift – Data warehousing
AWS Step Functions – Workflow orchestration
AWS IAM – Identity, access management, and security
AWS CloudWatch – Monitoring and operational support
IBM Netezza – Development, administration, or migration experience
ETL/ELT design and development
Data warehouse architecture and data modeling
Data migration and modernization
CI/CD pipeline implementation
Apache Spark and distributed data processing
Strong understanding of data security, governance, quality, and compliance

Key Responsibilities

Data Engineering & Development

Design, develop, and maintain scalable AWS-based data pipelines and data processing workflows.
Build and manage enterprise data lakes and data warehouses using Amazon S3, Amazon Redshift, and related AWS services.
Develop robust ETL/ELT pipelines using AWS Glue, Lambda, Apache Spark, and other data engineering technologies.
Implement batch and streaming data ingestion frameworks.
Develop reusable frameworks for data ingestion, transformation, validation, and loading.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Monitor, troubleshoot, and resolve data pipeline and workflow issues.
Implement data quality checks and validation processes across data pipelines.

AWS Cloud & Data Architecture

Design and implement cloud-native data solutions following AWS architecture and engineering best practices.
Develop scalable and highly available data architectures for enterprise workloads.
Implement security and access controls using AWS IAM and other AWS security capabilities.
Configure and maintain operational monitoring and alerting using AWS CloudWatch.
Ensure data platforms meet organizational requirements for security, governance, privacy, quality, and compliance.
Identify opportunities to improve platform performance, scalability, reliability, and cloud cost optimization.

Data Migration & Modernization

Analyze existing IBM Netezza environments, workloads, data structures, and ETL processes.
Design and implement migration strategies from IBM Netezza to AWS-based data lake and data warehouse platforms.
Develop migration pipelines and transformation processes to move legacy workloads to AWS.
Validate data completeness, accuracy, performance, and functionality following migration.
Ensure appropriate feature parity and optimize workloads for the target AWS environment.
Support migration activities across development, testing, deployment, and production environments.
Troubleshoot migration-related data and performance issues.

Testing & Deployment

Develop and execute unit tests for data pipelines and transformation logic.
Support QA, SIT, UAT, regression, and performance testing activities.
Implement automated deployment processes using CI/CD pipelines.
Promote data engineering solutions across development, QA, and production environments.
Support production releases, deployment validation, and post-production stabilization.
Maintain technical documentation for data pipelines, architectures, migration processes, and operational procedures.

Domain Experience

Strong experience in Banking and Financial Services environments.
Understanding of enterprise banking data, financial data platforms, regulatory requirements, and data governance.
Experience working with large-scale enterprise data migration or modernization programs is highly preferred.

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Strong problem-solving and analytical skills.
Experience working in Agile/Scrum development environments.
Excellent communication and collaboration skills.
Ability to work effectively with data architects, developers, QA teams, business stakeholders, and cloud engineering teams.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design and maintain scalable AWS-based data pipelines and enterprise data lakes using S3 and Redshift. Lead the migration of legacy IBM Netezza workloads to modern AWS cloud architectures within the banking sector.

Requirements

Requires over 10 years of experience in data engineering and AWS cloud technologies, specifically with Glue, Lambda, and Redshift. Strong background in Banking and Financial Services and experience with IBM Netezza migration is highly preferred.

Skills

AWS Cloud
Data Engineering
Data Warehousing
Amazon S3
AWS Glue
AWS Lambda
Amazon Redshift
AWS Step Functions
AWS IAM
AWS CloudWatch
IBM Netezza
ETL/ELT
Apache Spark
CI/CD
Data Modeling
Data Migration

Visa sponsorship

Not detected in the job text

Keywords

AWS
Cloud Computing
Data Lake
Data Warehouse
ETL
ELT
Amazon S3
AWS Glue
AWS Lambda
Amazon Redshift
AWS Step Functions
AWS IAM
AWS CloudWatch
IBM Netezza
Apache Spark
CI/CD
Data Governance
Data Security
Banking
Financial Services
Agile
Scrum
Data Migration
Modernization
Distributed Data Processing
Data Quality
Cloud Architecture
Serverless
Workflow Orchestration
Data Modeling

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Data engineer jobs in Toronto, ON and nearby

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