Jobs in Canada

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Added 1 hour ago
C
Développeur(se) C# / C++ – Expert(e) systèmes temps réel
CGI
Montreal, QC
- Full-time
Participate in cloud bursting, cloud-native and Kubernetes initiatives.
Added 2 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
…innovation, more openness, and the sky is the limit thinking in a cloud-enabled…
Added 2 hours ago
E
Senior Product Support Professional
Ericsson
Ottawa, ON
- Full-time
…and compute, focusing on next-gen development for open and cloud-native RAN software. With high-performing programmable networks, the unit helps Ericsson maintain technology…
Added 3 hours ago
GT
iOS Developer
GSPANN Technologies, Inc
Vancouver, BC
- Contract
Build native iOS applications using Swift and Objective-C following clean code principles
Added 3 hours ago
MG
Principal Engineer / Architect
Matrix Global
Toronto, ON
- Full-time
…lead the architecture, design, and delivery of next-generation cloud-native data and application platforms. This role is ideal for a senior technology leader who combines deep engineering…
Added 3 hours ago
MG
Java Engineer
Matrix Global
Toronto, ON
- Full-time
…responsible for designing, developing, and supporting scalable cloud-native applications, APIs, and integration services while leveraging modern Azure technologies and DevOps…
Added 4 hours ago
NC
Kubernetes Platform Developer
NAV CANADA
Ottawa, ON
- Full-time
Knowledge of Cloud Native applications and tooling.
Added 4 hours ago
NC
SWIM Software Developer
NAV CANADA
Ottawa, ON
- Full-time
Design and develop cloud-native backend services and messaging solutions supporting NAV CANADA's Service-Oriented and SWIM (System Wide Information Management) information exchange…
Added 4 hours ago
SI
Staff Cloud Security Engineer
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Define cloud telemetry requirements and improve detection coverage for cloud-native threats in partnership with Detection & Response.
Added 4 hours ago
AI Engineer Intern (Masters)
Electronic Arts
Vancouver, BC
Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g. terraform) for managing infrastructure.
Added 4 hours ago
E
Senior Product Support Professional
Ericsson
Ottawa, ON
- Full-time
…and compute, focusing on next-gen development for open and cloud-native RAN software. With high-performing programmable networks, the unit helps Ericsson maintain technology…
Added 5 hours ago
Lead Network & Security Architect 1
Celestica International LP
Toronto, ON
Added 5 hours ago
Senior Specialist, Software Engineering (Middleware Azure)
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
We are looking for an experienced Azure Developer to design, build, and support cloud native integrations and applications that power our enterprise platforms. The ideal candidate has…
Added 5 hours ago
C
Lead Network & Security Architect 1
Celestica
Toronto, ON
- Full-time
Added 6 hours ago
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Technical Architect
Mphasis
Toronto, ON
- Contract
Drive cloud-native AI application development and deployment.
Added 6 hours ago
Senior Specialist, Software Engineering (.Net)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Build cloud-native and .NET solutions, automate routine tasks, and optimize SQL and batch processes for performance and reliability.
Added 6 hours ago
Bilingual Advisor, Software Engineering
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
A deep experience with cloud‑native and integration platforms, including Azure Functions, Logic Apps, and event‑driven or API‑based architectures.
Added 6 hours ago
Bilingual Senior Specialist, Software Engineering (.Net)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Build cloud-native and .NET solutions, automate routine tasks, and optimize SQL and batch processes for performance and reliability.
Added 6 hours ago
AT
Sr Principal Developer
Aspen Technology
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Stay current with industry trends and best practices around cloud native and Software-as-a-Service technologies and recommend adoption strategies aligned with business goals.
Added 6 hours ago
TS
Architect - Azure/Terraform- Cloud Platform Engineer
TECONICA SOFTWARES
Toronto, ON
- Contract
Implement cloud security and enterprise governance using Azure-native services.
Added 6 hours ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
Strong understanding of cloud-native architectures and emerging data technologies.
Added 6 hours ago
GS
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
Implement cloud-native authentication and secrets handling - Entra ID with Managed Identity and workload federation, AWS IAM roles and STS - with the goal of eliminating stored credentials.
Added 6 hours ago
C
Senior Full Stack Developer (Angular & Java)
Cognizant
Toronto, ON
- $68,422 to $114,000 CAD / year
- Full-time
Develop and support cloud-native applications leveraging AWS, Azure, or OpenShift platforms.
Added 7 hours ago
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Manager, Engineering – Easy Apply & Digital Onboarding Platform
TD
Toronto, ON
- Full-time
The successful candidate will oversee the design, delivery, and support of cloud-native applications built using Java, Spring Boot, microservices, event-driven architecture, APIs, and Azure…
Added 7 hours ago
C
Développeur(euse) Java sénior
CGI
Montreal, QC
- Full-time
…telecommunications. Working within Agile teams, you will build cloud native, full stack solutions from Spring Boot microservices and Kafka based event streaming to modern Angular or React…

Hire DigITalent Inc.

Databricks Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$90 to $110 CAD / hour · Contract

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Job details

Pay: $90 to $110 CAD / hour
Job type: Contract
Apply by: Nov 5, 2026
Experience: 5+ years of professional experience in data engineering or data platform development.
Posting language: English
Posted: Oct 6, 2026

Original job description

Our client is running a modern data platform built on AWS and actively moving through a major Databricks implementation. The core objective is transforming data into actionable business products for marketing and promotions. The project team needs a seasoned Senior Data Engineer to help lead the charge, stabilize key deliverables, and guide our technical strategy. This is a critical engagement on a high-visibility, fast-paced project where both strong technical hands-on capability and sharp soft skills are essential.

This is a 6 month contract based in North Toronto and requires 5 days onsite.

Key Responsibilities:

Lead the design, development, and operation of scalable, cloud-based data platforms supporting analytics and machine learning workloads.
Design and maintain high-quality data pipelines (ETL/ELT) with strong standards for reliability, observability, metadata, and lineage.
Build and operate Databricks-based data engineering solutions, including Spark, SparkSQL, and Delta Lake pipelines.
Enable and support MLOps workflows, including data pipelines, feature engineering, and integration with AWS SageMaker for model training, deployment, and monitoring.
Collaborate closely with Data Science and ML Engineering teams to transition models from experimentation to production.
Work with Data Governance and Data Management teams to ensure compliance with enterprise standards and audit requirements.
Implement and maintain data quality frameworks, monitoring, and automated validation checks.
Define and maintain enterprise data assets, data models, and transformation logic.
Perform advanced data analysis to troubleshoot complex data issues and production incidents.
Contribute to CI/CD pipelines for data and analytics workloads, including testing and deployment automation.
Provide technical mentorship to data engineers, promoting engineering best practices and code quality.
Evaluate and recommend tools and technologies for data lineage, observability, and platform scalability.
Partner with architecture and platform teams to define long-term data and ML platform strategy.
Produce clear documentation and contribute to shared engineering standards and knowledge bases.

Required Skills & Qualifications:

5+ years of professional experience in data engineering or data platform development.
Advanced proficiency in Python and SQL.
Strong experience building data platforms on AWS, including services such as Lambda, Glue, Redshift, Step Functions, CloudFormation, Athena, and related services.
Hands-on experience with Databricks, including Spark, Delta Lake, notebook-driven development, and production pipelines.
Experience enabling or supporting MLOps, including integration with AWS SageMaker for model lifecycle management.
Experience delivering CI/CD pipelines for data and analytics systems.
Strong understanding of data modeling (relational, dimensional) and performance optimization.
Experience implementing data quality, monitoring, and observability solutions.
Proficient with source control tools such as Git and collaborative development practices.
Working knowledge of Linux and scripting.
Experience with file formats (CSV, JSON, XML) and diverse data integration patterns.
Strong understanding of cloud-native architectures and emerging data technologies.
Experience managing technical debt, refactoring, and evolving systems over time.
Ability to balance short-term delivery with long-term architectural considerations.
Experience as a DBA or with Salesforce (SFDC) is an asset.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

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More about this job

Responsibilities

Lead the design, development, and operation of scalable AWS and Databricks data platforms, including reliable data pipelines, data quality controls, and production MLOps workflows integrated with SageMaker. Mentor engineers, troubleshoot production issues, contribute to CI/CD and governance practices, and help shape long-term platform strategy and engineering standards.

Requirements

Requires 5+ years of data engineering experience, advanced Python and SQL skills, and hands-on experience with AWS, Databricks, Spark, Delta Lake, and production data pipelines. Candidates should also have experience with MLOps and SageMaker, CI/CD, data modeling, data quality and observability, Git, Linux, and a bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Skills

Databricks
Apache Spark
Delta Lake
Python
SQL
AWS
AWS SageMaker
ETL/ELT Pipelines
MLOps
CI/CD
Data Modeling
Data Quality
Data Observability
Git
Linux
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Apache Spark
SparkSQL
Delta Lake
AWS
AWS Lambda
AWS Glue
Amazon Redshift
AWS Step Functions
AWS CloudFormation
Amazon Athena
AWS SageMaker
Python
SQL
ETL/ELT
MLOps
Feature Engineering
CI/CD
Data Modeling
Data Quality
Data Observability
Data Lineage
Data Governance
Git
Linux
CSV
JSON
XML
Machine Learning
Data Engineering

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