Jobs in Canada

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Added 2 months ago
Machine Learning Engineer
Stripe
Toronto, ON
Knowledge about driving a hypothesis from data
Added 4 months ago
Data Scientist, Product Analytics | Scientifique de données en analyse de produits
Meta
Vancouver, British Columbia
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger,…
Added 4 months ago
SI
Data Scientist II
Scribd, Inc.
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Employees must have t
Added 4 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer - Montreal
Mistral
Montreal, Quebec
- Full-time
You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
Added 7 months ago
CN
Fuel Research Scientist
Canadian Nuclear Laboratories
Chalk River, Ontario
- Full-time
Must have excellent oral and written communication skills · Working schedule: Five (5) days per week, seven and a half (7.5) hours per day for a thirty-seven and a half (37.5) hour work week
Added 4 months ago
S
Environmental Scientist - Site Investigation and Remediation
Stantec
Fredericton, NB
- Full-time
We are currently seeking an Intermediate Environmental Scientist/Engineer to join our Environmental Services team in New Brunswick. Your role will be to work as a key member of our Atlantic…
Added 2 months ago
Bilingual Data Scientist II
CMHC - SCHL
Calgary, AB · Vancouver, BC · Halifax, NS · Ottawa, ON · Toronto, ON · Montreal, QC
Join the Analytics & Strategic Insights team, in the Data Scientist II position. In this role, you will use data, analytics, and automation to help solve business challenges, identify…
Added 2 months ago
Staff Machine Learning Engineer
OpenTable
Toronto, ON
This hybrid role requires working in the office two days per week
Added 4 months ago
Senior Environmental Scientist or Engineer (Contaminated Sites) – Halifax - Talent Pool
GHD Group Pty Ltd
Bedford, Nova Scotia
Senior Environmental Scientist or Engineer (Contaminated Sites) – Halifax
Added 2 months ago
Staff Data Scientist
Toast
Canada
As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest…
Added 2 months ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…are offering an exciting opportunity to join our team as a Data Scientist / Researcher specializing in Generative AI Models. In this role, you will develop and optimize and use Large…
Added 2 months ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
We’re looking for an authentic, collaborative, and accountable Applied Data Scientist to join the Arcurve team.
Added 2 months ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
As a Data Engineer, you will build and operate the pipelines and platform that carry data from source to model to decision, across batch and streaming workloads. You will also take a…
Added 2 months ago
Z
Senior Staff Data Scientist
Zendesk
Montreal, QC · Canada - Montreal - Hybrid
- Full-time
As a Staff Data Scientist at Zendesk, you will be joining the AI Security team and be responsible for envisioning and developing machine learning and AI approaches that help us understand…
Added 2 months ago
RB
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
Royal Bank of Canada
Toronto, ON
- Full-time
Proficient in data preprocessing, feature engineering, and working with large datasets.
Added 2 months ago
Junior Geoscientist / Geochemist / Data Scientist
WSP
Vancouver, BC
Based in Vancouver, Calgary, or Edmonton, you'll build your career as a Junior Geoscientist / Geochemist / Data Scientist by helping multidisciplinary teams turn geochemical and…
Added 2 months ago
R
Generative AI Data Scientist & ML Engineer
RBC
Toronto, ON
- Full-time
…are offering an exciting opportunity to join our team as a Data Scientist / Researcher specializing in Generative AI Models. In this role, you will develop and optimize and use Large…
Added 2 months ago
R
Data Scientist and AI Engineer Autonomous AI Agents (LLMs and Deep Learning)
RBC
Toronto, ON
- Full-time
Proficient in data preprocessing, feature engineering, and working with large datasets.
Added 2 months ago
SC
Intermediate Environmental Scientist
SLR Consulting
Winnipeg, MB
- Full-time
As our new Intermediate Environmental Scientist, you will play an important role on our Land Quality and Remediation team in Winnipeg.
Added 2 months ago
Senior Staff Environmental Engineer, Scientist, Geologist, or Hydrogeologist
Langan Engineering & Environmental Services
Calgary, Alberta
Langan is seeking a Senior Staff Environmental Engineer, Scientist, Geologist, or Hydrogeologist to join its collaborative team in Calgary, AB. This individual will serve a key function in…
Added 4 months ago
PS
ML Scientist, All Levels
Perceptive Space
Remote, Canada
- Full-time
- Remote
Minimum 2+ years of industry experience with modern deep learning architectures for sequential, temporal, or multimodal data, including attention-based models, transformers, representation…
Added 4 months ago
S
Environmental Scientist/Technician
Stantec
Yellowknife, NT
- Full-time
The successful candidate must reside in Yellowknife, NT or be willing to relocate to Yellowknife, NT
Added 2 months ago
ML Engineer Manager, AI Conversation Platform
Stripe
Toronto, ON
Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.
Added 2 months ago
NF
Data Scientist 2
Northbridge Financial
Toronto, ON
- Full-time
- Other
We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it
Added 4 months ago
N
Senior Scientist - Manufacturing Development
nomic
Montreal, Quebec
- Full-time
As a Senior Scientist, Manufacturing Development, you will provide technical leadership to define, develop and enhance the processes that drive our platform’s scalability and performance.…

Arcurve Inc.

Intermediate Data Engineer

Calgary, AB, Canada

Apply on jobs.dayforcehcm.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 9, 2026

Original job description

Arcurve is one of North America’s leading full-service technology, advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver professional services in the technology industry. Since then, we have completed more than 1000 projects for clients ranging from start-ups to Fortune 500 companies. From our office in Calgary and hubs in Halifax, Houston, and Vancouver we deliver exceptional results for our clients in a diverse range of industries including telecommunications, oil and gas, transportation, private equity, gaming, infrastructure, software, finance, and hospitality.

At Arcurve, we believe that work should be an enjoyable experience and that the best “aha” moments come through team learning and continuous motivation. We know the key to success is collaboration, and that you can’t put a value on accountable, transparent, and authentic interactions. We strive to deliver exceptional service while creating lasting relationships with our employees, our students, our clients, and our community.

We’re looking for an authentic, collaborative, and accountable Data Engineer to join the Arcurve team.

YOU ARE

Passionate about technology
An authentic and creative human
Driven to succeed
A believer in the importance of teamwork
Community-minded
An expert problem solver
Someone who thrives on challenge
Motivated by exceptional results
Someone who cares about your clients

THE GOAL

To deliver best-in-class technical solutions across a broad array of clients in different industries utilizing the tech stack best suited to solving the problem with a focus on delivering business value for our clients.

THE ROLE

Arcurve delivers applied machine learning for clients operating in complex technical environments. The value of that work depends on whether it runs reliably against real operational data, which is rarely clean, complete, or timely.

As a Data Engineer, you will build and operate the pipelines and platform that carry data from source to model to decision, across batch and streaming workloads. You will also take a hands-on role in productionizing machine learning models, working alongside a Data Scientist who owns the analytical design.

This position suits an engineer who thinks in terms of failure modes and who expects their systems to be inherited, debugged, and extended by other people.

THE RESPONSIBILITIES

Design, build, and maintain production data pipelines, including ingestion, transformation, orchestration, and data quality validation.
Develop streaming and near-real-time pipelines where operational decisions depend on low latency.
Own MLOps infrastructure, including CI/CD for models, experiment tracking, model registry, deployment, monitoring, drift detection, and retraining.
Implement validated machine learning approaches as production services that perform reliably under enterprise load.
Build data models and semantic layers that support both analyst querying and reliable reasoning by large language models.
Provision and maintain cloud infrastructure, and establish the observability, alerting, and recovery procedures that keep it dependable.
Collaborate with data scientists, client engineering teams, and business stakeholders on requirements and delivery.

THE REQUIREMENTS

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Demonstrated experience building and operating production data platforms.
Expert-level SQL and strong Python.
Deep experience with Databricks and/or Snowflake. Experience with BigQuery and Microsoft Fabric is also highly valued.
Spark, including performance tuning on production workloads.
Pipeline orchestration and workflow tooling such as Airflow, Databricks Workflows, Azure Data Factory, or dbt.
MLOps tooling such as MLflow, Databricks Asset Bundles, or Azure ML, with practical experience deploying and monitoring models.
Experience delivering in a major cloud environment, with Azure preferred and AWS a strong second.
Working proficiency with Docker and Kubernetes, including containerizing and deploying services.
CI/CD and infrastructure-as-code practice.
Data modelling experience across dimensional, normalized, or graph approaches, with the judgment to select appropriately.
Established software engineering habits, including version control, code review, automated testing, structured logging, and error handling.
Excellent written and verbal communication with both technical and non-technical audiences.

PREFERRED QUALIFICATIONS

Streaming platforms such as Kafka, Event Hubs, Kinesis, or Spark Structured Streaming.
Deploying machine learning models at scale, including real-time inference and GPU workloads.
Graph databases and graph data modelling.
Handling unstructured data at volume, including images, documents, and audio.
Data governance, lineage, and cataloguing.
Domain exposure to industrial, energy, or engineering-led sectors.

THE PERKS

A fun work atmosphere that values equity, diversity and inclusion.
Competitive contractor rates.
Hybrid work environment and flexible scheduling.
Contract or Employment opportunities

Apply on jobs.dayforcehcm.com About employer

More about this job

Responsibilities

Design, build, and maintain production data pipelines and MLOps infrastructure to support reliable machine learning models. Collaborate with data scientists and stakeholders to ensure data quality and system observability across cloud environments.

Requirements

Requires a bachelor's degree in a technical field and demonstrated experience building production data platforms. Candidates must possess expert-level SQL, strong Python skills, and proficiency with cloud-based data tools like Databricks or Snowflake.

Skills

SQL
Python
Databricks
Snowflake
Spark
Airflow
Azure Data Factory
dbt
MLOps
MLflow
Azure ML
Docker
Kubernetes
CI/CD
Infrastructure-as-code
Data modelling

Benefits

Competitive contractor rates
Hybrid work environment
Flexible scheduling
Fun work atmosphere

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
SQL
Python
Databricks
Snowflake
BigQuery
Microsoft Fabric
Spark
Airflow
Azure Data Factory
dbt
MLOps
MLflow
Azure ML
Docker
Kubernetes
CI/CD
Infrastructure-as-code
Data modelling
Streaming
Kafka
Event Hubs
Kinesis
GPU
Data governance
Cloud infrastructure
Observability
Machine learning
Data pipelines
Semantic layers

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Work requirements

Jobs in Canada