Data warehouse developer Jobs

Data Engineer / Data Architect & Software Developer — Azure / Databricks
Raise —Ontario
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
Quick apply
1d
Senior Business Intelligence Developer
Vancouver Fraser Port Authority —Vancouver, BC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
- Paid time off
Lead AI/ML Engineer
Xsolla —Montréal, QC
- $130,000–$160,000 a year
- Full-time
- SQL
- AWS
- Machine learning
- Dental care
- Paid time off
Quick apply
Ingénieur(e) Services - Données et Apprentissage Automatique
Ericsson —Montréal, QC
- Bilingual
- Azure
- Computer Science
- Wellness program
- Employee stock purchase plan
Senior Mobile Developer | Développeur(euse) mobile senior
Jesta I.S. —Montréal, QC
- Full-time
- Hybrid work
- Azure
- DevOps
- Java
- Wellness program
- Disability insurance
Quick apply
Data Warehouse Backend Developer and Power BI Support
THREE POINT TURN INC —Canada
- $85 an hour
- Part-time
- Remote
- SQL
- Analysis skills
- Flexible schedule
Quick apply
Payments Engineering Intern (12-month)
Super.com —Canada
- $34.50–$40.00 an hour
- Night shift
- Remote
- AWS
- Internship / Co-op
- Python
Software Engineering Intern - Product (Full-Stack)
Super.com —Canada
- $20.25–$39.25 an hour
- Full-time
- Remote
- AWS
- JavaScript
- Internship / Co-op
Senior Full Stack Software Engineer
Super.com —Canada
- $147,000–$199,000 a year
- Full-time
- Remote
- DevOps
- SQL
- AWS
- Paid time off

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Data Engineer / Data Architect & Software Developer — Azure / Databricks
Raise —Ontario
Experience with AI/ML development, LLMs, or enterprise application development for software developer roles. 3 to 10+ years of experience in data engineering,…
Quick apply
1d

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Data Engineer / Data Architect & Software Developer — Azure / Databricks

Raise -
Ontario

Quick apply

Job details

Full-time
1 day ago

Qualifications

Azure
Enterprise software
Spark
SQL
REST
APIs
Agile
AI
Python
Analytics

Full job description

Ontario's energy sector is investing heavily in building out its data and digital capability — and the need for engineers and developers who can build, maintain, and scale that infrastructure is growing.

Raise is building a pipeline of Data Engineers, Data Architects, and Software Developers for contract opportunities with a leading enterprise organization in Ontario's energy sector currently running an active data and digital modernization program. This is not a live posting for a single role. Apply once, and we will reach out as specific opportunities become available.

About the Opportunity

The organization is building and expanding a data platform based on Microsoft Azure and Databricks — spanning data lake architecture, ELT pipeline development, semantic modeling, business intelligence, AI application development, and enterprise system integration. The program requires professionals at multiple levels, from data engineers building pipelines to architects designing the overall data model to software developers building applications that consume the platform. None of these roles require a nuclear background — they require technical depth and the ability to work within a complex, governed enterprise environment.

What You Could Be Working On

Designing, building, and maintaining scalable ELT/ETL pipelines using Azure Data Factory, Databricks, and related tools
Developing and optimizing data models for reporting, analytics, and downstream system use
Architecting data solutions across data lake, data warehouse, and lakehouse environments
Building AI and machine learning applications using large language models and Azure AI services
Developing full-stack enterprise applications using modern frameworks and cloud-native architecture
Implementing data governance, lineage tracking, and quality controls across the data platform
Integrating enterprise systems using REST APIs, Azure Integration Services, and event-driven architectures
Working within agile SCRUM delivery frameworks

What We're Looking For

3 to 10+ years of experience in data engineering, data architecture, or software development depending on the role
Proficiency in Python, SQL, and Spark/PySpark for data engineering roles
Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, and related Microsoft stack tools
Experience with AI/ML development, LLMs, or enterprise application development for software developer roles
Strong understanding of data governance, quality, and security principles
Experience working in agile delivery environments

Why Apply Now

The data and digital program is active and expanding. New roles open regularly across different parts of the platform. Being in our pipeline means we can match you to the right scope — whether that is pipeline development, architecture, AI, or application development — as soon as the need is confirmed.

Location: Oshawa CHQ — typically hybrid with 2 to 3 days remote

Contract Length: Typically 9 to 24 months, with strong likelihood of extension

Looking for meaningful work? We can help

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or [email protected]

#LI-AJ1

#IMW

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Ingénieur(e) Services - Données et Apprentissage Automatique

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