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Added 1 day ago
Senior Data Engineer
Capgemini
Mississauga, ON
…lake technologies across cloud platforms, including Microsoft Azure, Google Cloud Platform (GCP), and…
Added 1 day ago
C/
Senior Infrastructure Specialist, West
CIRO / OCRI
AB · Vancouver, BC · Calgary, AB
- Full-time
Build and support cloud-based architecture using Azure services
Added 1 day ago
J
Systems Administrator/Operations Support Specialist - Senior
Joblinxsapp
Toronto, ON
- Full-time
Manage SSO, Azure AD / Entra ID, and identity management integrations.
Added 1 day ago
HM
Test Analyst
Hi Mauritius
Canada
- Full-time
Familiarity with manual testing techniques and defect tracking tools (e.g., JIRA, Azure DevOps, Bugzilla).
Added 1 day ago
IS
Lead Java Developer
Iris Software Inc.
Toronto, ON
- Contract
Drive cloud-native architecture initiatives leveraging AWS, Azure, or GCP platforms.
Added 1 day ago
SI
Senior Systems Administrator
STACK IT Recruitment
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
…role with a strong focus on virtualization, Microsoft 365, Azure, and…
Added 1 day ago
RD
IT Application Security Manager
Randstad Digital
Toronto, ON
- Full-time
Added 1 day ago
UT
Senior Data Analyst # 26-27842
US Tech Solutions
Montreal, QC
- $48.42 CAD / hour
- Contract
Project Management Tools: Experience with Jira or Azure DevOps.
Added 1 day ago
PF
Data Analyst 2
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Familiarity with cloud-based data environments such as Azure, AWS, or Google Cloud.
Added 1 day ago
EM
Senior IT Security Specialist
Electric Mind
Toronto, ON
- Full-time
Cloud security knowledge in AWS, Azure or Google Cloud: identity and access management, network security groups, logging and cloud security posture management (CSPM).
Added 1 day ago
DS
Senior Software Engineer (Azure)
DEG Services
Concord, ON
- Full-time
The Lead Software Engineer (Azure) is a senior, hands-on engineer who serves as the technical lead for the organization’s internally developed applications and integrations. The role…
Added 1 day ago
M
Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
- Full-time
Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).
Added 1 day ago
Project Manager, Epic Cloud Infrastructure, Information Services – Temporary Full-Time (1.0) (until June 2028)
CHEO
Ottawa, ON
…Epic environment from on-premises infrastructure to Microsoft Azure. The role leads the integrated planning and execution of infrastructure, networking, identity, security, resiliency,…
Added 1 day ago
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Senior Platform Engineer
BGIS
Toronto, ON
- Full-time
Publishes and maintains reusable frontend and backend packages through Azure DevOps Artifacts using appropriate versioning and dependency-management practices.
Added 1 day ago
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Project Manager, Epic Cloud Infrastructure, Information Services – Temporary Full-Time
CHEO
Ottawa, ON
- $52.93 to $62.27 CAD / hour
- Full-time
- Temporary
…Epic environment from on-premises infrastructure to Microsoft Azure. The role leads the integrated planning and execution of infrastructure, networking, identity, security, resiliency,…
Added 1 day ago
HT
Backend Engineer, Data Engineering
High Tech Genesis
Ottawa, ON
- Contract
Cloud & Infrastructure: AWS, Azure, GCP, or comparable cloud environments
Added 1 day ago
H
Sr Sharepoint Developer
HRConnects
Vancouver, BC
- Full-time
We’re seeking a Sr SharePoint Developer with strong hands-on experience in SharePoint Online, Office 365/Microsoft 365, SharePoint Framework (SPFx), and modern web development. You’ll work…
Added 1 day ago
H
Sr. Developer - IBM Tririga
HRConnects
Vancouver, BC
- Full-time
Join Our Team as a Sr. Developer – IBM Tririga
Added 1 day ago
H
Microsoft 365 Technical Lead
HRConnects
Vancouver, BC
- Full-time
Familiarity with Azure DevOps, GitHub, CI/CD practices, and source control management.
Added 1 day ago
G
Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Montreal, QC
- Full-time
Added 1 day ago
AS
Senior Java Developer
Axelon Services Corporation
Montreal, QC
- $77.93 CAD / hour
- Other
Implement cloud-first strategies, with experience in Azure being beneficial.
Added 1 day ago
G
Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Remote, Canada
- Full-time
- Remote
Added 1 day ago
TC
Azure Data Engineer / Business Analyst
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Own the journey from business requirement to Azure data solution, translating business needs into scalable technical designs and deliverables.
Added 1 day ago
CS
Synapse Engineer
Cyber Space Technologies LLC
Toronto, ON
- Contract
The Synapse Engineer (Remote) builds, optimizes, and maintains the Azure Synapse environment used to replace Alteryx workflows. The role implements pipelines, SQL transformations,…
Added 1 day ago
BI
SAP Business Analyst
BURGEON IT SERVICES
Toronto, ON
- Contract
Experience with Jira, Confluence, or Azure DevOps.

High Tech Genesis

Backend Engineer, Data Engineering

Ottawa, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 6, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

HTG is hiring a Backend Engineer, Data Engineering for an opportunity with one of our technology clients.

The engineer will join a backend-focused data engineering team responsible for processing large volumes of field and system data and transforming it into useful, reliable data that can be consumed by other systems and engineering teams.

A key focus of the team is cost reduction and processing efficiency - improving how data is collected, processed, transformed, and delivered while maintaining system performance, reliability, and scalability.

The ideal candidate will have strong backend and data-processing experience, with Scala and Javaas core technologies. Experience with Ruby or Go is considered an asset.

Key Responsibilities

Design, develop, and maintain backend services and data-processing systems.
Build and optimize data pipelines that process field and system-generated data.
Transform raw data into reliable, structured, and useful datasets for downstream systems and applications.
Develop scalable solutions for processing and managing large volumes of data.
Identify opportunities to reduce data-processing and infrastructure costs through improved architecture, algorithms, automation, and system efficiency.
Optimize data-processing workflows for performance, scalability, reliability, and cost efficiency.
Develop and maintain services and APIs that support data ingestion, processing, transformation, and delivery.
Troubleshoot data-processing and backend issues across development and production environments.
Implement monitoring, logging, testing, and diagnostics to maintain data quality and system reliability.
Collaborate with other engineering teams to understand downstream data requirements and deliver reliable data products.
Participate in code reviews, technical design discussions, testing, debugging, and Agile development practices.
Contribute to improvements in engineering processes, automation, and overall platform efficiency.

Required Qualifications

Strong professional experience in backend software engineering and/or data engineering.
Strong hands-on experience with Scala.
Strong professional experience with Java.
Experience designing and developing backend services and data-processing applications.
Experience working with data pipelines, data transformation, or large-scale data processing.
Strong understanding of software engineering fundamentals, including object-oriented and/or functional programming concepts.
Experience working with APIs, backend services, and distributed application environments.
Experience troubleshooting and optimizing backend applications and data-processing workflows.
Understanding of performance, scalability, reliability, and resource utilization.
Strong analytical, debugging, and problem-solving skills.
Ability to work effectively with cross-functional engineering teams.

Technical Environment

Experience with several of the following technologies and concepts is valuable:

Programming Languages: Scala, Java
Additional Languages: Ruby, Go
Data Engineering: Data processing, ETL/ELT, data transformation, data pipelines, batch and/or streaming processing
Backend Development: APIs, backend services, service-oriented architectures
Distributed Systems: Distributed data processing and scalable backend architectures
Databases: Relational and NoSQL databases
Data Storage: Experience working with large-scale data storage systems
Messaging & Streaming: Kafka or similar messaging and streaming technologies
Cloud & Infrastructure: AWS, Azure, GCP, or comparable cloud environments
Automation & CI/CD: Automated testing, CI/CD pipelines, deployment and operational automation
Observability: Logging, monitoring, metrics, diagnostics, and system observability
Version Control: Git

Preferred Qualifications

Experience working with Scala-based data processing systems.
Experience developing backend systems using Java.
Experience with Ruby and/or Go.
Experience processing large volumes of operational, device, field, or system-generated data.
Experience optimizing data pipelines for cost, performance, and scalability.
Experience with distributed data-processing frameworks.
Experience with batch and streaming data-processing architectures.
Experience with Kafka or comparable messaging/streaming platforms.
Experience with cloud-based data and backend infrastructure.
Experience with data quality, validation, monitoring, and observability.
Experience developing automation for data-processing workflows.
Experience working in an Agile software development environment.

What You'll Bring

We are looking for a backend engineer who enjoys working with data at scale and solving complex engineering problems involving data processing, system efficiency, and cost optimization.

The ideal candidate will combine strong Scala and Java development skills with practical experience building backend services and processing pipelines. You should be comfortable working with large volumes of data, optimizing processing workflows, troubleshooting complex issues, and delivering reliable data that downstream systems can use effectively.

Experience with Ruby or Go will be considered an asset.

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More about this job

Responsibilities

Design, develop, and optimize backend services and scalable data-processing pipelines that transform field and system data into reliable datasets for downstream systems. Improve processing efficiency and reduce infrastructure costs while maintaining performance, reliability, and data quality, and collaborate with engineering teams on delivery and platform improvements.

Requirements

Requires strong professional backend or data engineering experience, hands-on Scala and Java skills, and experience building backend services and processing large-scale data pipelines. Candidates should understand APIs, distributed environments, performance and reliability optimization, and demonstrate strong analytical and collaborative skills.

Skills

Scala
Java
Backend Software Engineering
Data Engineering
Data Pipelines
Data Processing
ETL/ELT
Data Transformation
Distributed Systems
API Development
Performance Optimization
Cost Optimization
Batch Processing
Streaming Processing
Kafka
Cloud Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Scala
Java
Ruby
Go
Backend Engineering
Data Engineering
Data Processing
ETL/ELT
Data Pipelines
Data Transformation
Batch Processing
Streaming Processing
APIs
Distributed Systems
Relational Databases
NoSQL Databases
Large-Scale Data Storage
Kafka
Cloud Infrastructure
AWS
Azure
GCP
CI/CD
Automated Testing
Monitoring
Logging
Observability
Git
Agile
Cost Optimization

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