Data engineer jobs in Rosemère, QC and nearby

Data engineer jobs within 25 km of Rosemère, QC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 71
Employers: 55

Advertised starting pay

Not enough comparable pay figures yet.

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 62%44 listings
On-site: 38%27 listings

Employers hiring include Apptad (3), Synechron (3), TMC Canada (3).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Rosemère, QC and nearby

Within 25 km

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Added 1 month ago
B
Professional Senior, Engineering, Data Engineer, Data Analytics
Bombardier
Dorval, QC
- Full-time
Added 1 month ago
TC
Data Engineer
TMC Canada
Montreal, QC
- Full-time
We're looking for talented Data Engineers to contribute to the development of core infrastructure components across Sybase, DB2, and MSSQL database platforms, as well as newer platforms…
Added 1 month ago
S
Cloud Data Engineer (GCP & AWS)
Synechron
Montreal, QC
- Full-time
Synechron is looking for a Cloud Data Engineer to design, develop, and maintain scalable data solutions on AWS and Google Clou
Added 1 month ago
M
Data Engineer
Mantu
Montreal, QC
- Full-time
Data Engineer | Python & Database Engineering | Montreal
Added 2 months ago
P
Senior Data Engineer
Pomerleau
Montreal, QC
- Full-time
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 2 months ago
AG
Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 2 months ago
K
Machine Learning Data Engineer
kadence
Montreal, QC
- Full-time
Rather than maintaining established pipelines, you’ll be helping develop new approaches to training-data engineering and curation where established playbooks often do not yet exist.
Added 2 months ago
M
Staff Data Engineer
MaintainX
Montreal, QC
- Full-time
Added 2 months ago
FE
Data Engineer
Future Electronics
Kirkland, QC
- Full-time
This role is responsible for designing, building, and optimizing enterprise data pipelines that collect, transform, store, and prepare data for reporting, analytics, machine learning, and…
Added 2 months ago
A
Ingénieur de données Databricks / Data Engineer Databricks
Avanquest
Montreal, QC
- Full-time
Added 2 months ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
Added 2 months ago
C
Ingénieur de données-Palantir Foundry
CGI
Montreal, QC
- Full-time
We are seeking an experienced Data Engineer specializing in Palantir Foundry to join a large scale enterprise data and analytics transformation program. The successful candidate will play a…
Added 2 months ago
Ingénieur Data / Data Engineer
mthree Recruiting Portal
Montreal, QC
Nous recherchons une personne pour rejoindre une équipe dynamique en tant qu’Ingénieur(e) Data pour l’un de nos clients. Ce poste est destiné à un rôle d’ingénierie des données au sein de…
Added 2 months ago
Senior Data Engineer
Talents LGS
Montreal, QC
Added 4 months ago
P
Data Engineer
PartsAvatar.ca
Montreal, Quebec
- Full-time
Added 6 months ago
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Shearwater
Montreal, QC
Added 3 months ago
T
Senior Data Engineer
Trackforce
Montreal, QC
- Full-time
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
Added 1 month ago
CS
Sr Data Engineer
Cyber Space Technologies LLC
Montreal, QC
- Contract
We are seeking an experienced 10 Years of Data Engineer to design, develop, and maintain scalable data pipelines and data solutions. The ideal candidate should have strong experience in…
Added 3 months ago
Ingénieur data / Data Engineer
mthree
Montreal, Quebec
Nous recherchons une personne pour rejoindre une équipe dynamique en tant qu’Ingénieur(e) Data pour l’un de nos clients. Ce poste est destiné à un rôle d’ingénierie des données au sein de…
Added 4 months ago
B
Data Engineer
Bounteous
Montreal, Quebec
- Full-time

No more jobs.

kadence

Machine Learning Data Engineer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 5+ years of experience across machine learning engineering, data processing, NLP, data infrastructure or related areas.
Posting language: English
Posted: Sep 2, 2026

Original job description

Senior Machine Learning Data Engineer

Location: Canada

The Opportunity

This is an opportunity to work alongside a highly accomplished AI research team tackling fundamental problems in advanced machine learning.

Rather than maintaining established pipelines, you’ll be helping develop new approaches to training-data engineering and curation where established playbooks often do not yet exist.

The organization is building a substantial technical team in Montreal, and we are hiring multiple people across this area.

If you’ve worked on LLM training data, large-scale NLP pipelines, foundation-model infrastructure or web-scale data processing, I’d be interested in speaking with you.

We’re working with an ambitious AI research organization building next-generation machine learning systems and are looking for multiple Senior Machine Learning Data Engineers to join its growing technical team.

This role sits at the intersection of data engineering, machine learning, NLP, and large-scale training data curation.

You’ll be responsible for building and scaling the infrastructure that transforms raw, web-scale data into high-quality datasets used to train advanced AI models.

The core challenge is engineering data quality at enormous scale: developing filtering systems, model-based quality scoring, dataset transformations, contamination detection, and tooling that allows researchers to understand and work with training corpora effectively.

What You’ll Work On

Design, build and scale pipelines that transform raw web-scale data into high-quality datasets for training large machine learning models.
Process extremely large unstructured text corpora, including datasets at trillion-token scale.
Build sophisticated data-processing systems covering: Deduplication, Model-based quality scoring, Heuristic filtering, Toxicity and content-safety filtering, PII detection and removal, Metadata extraction, Dataset transformations, Versioning and provenance tracking
Develop automated data-quality systems using a combination of heuristics, ML classifiers, LLM-based evaluators and human-in-the-loop workflows.
Build monitoring and guardrails to identify data-quality regressions before they impact downstream model training.
Work closely with AI researchers to understand evolving training-data requirements and identify gaps within existing datasets.
Design robust evaluation contamination and data-leakage detection systems.
Build internal tools that allow researchers to easily explore, query and understand large datasets.
Optimize large-scale distributed processing systems for throughput, reliability and infrastructure cost.

What We’re Looking For

5+ years of experience across machine learning engineering, data processing, NLP, data infrastructure or related areas.
Experience working with very large unstructured text datasets, ideally at web or foundation-model scale.
Strong production-level Python.
Hands-on experience with distributed data-processing technologies such as: Spark, Ray, Flink
Experience designing and optimizing high-throughput distributed pipelines.
Experience with areas such as: PII scrubbing, Content-safety filtering, Dataset quality, Evaluation contamination, Training-data governance
Experience with workflow orchestration frameworks such as Airflow, Prefect or Dagster.
Ability to work closely with both research and engineering teams and translate research requirements into scalable infrastructure.

Particularly Relevant Experience

We’d be especially interested in people who have worked on:

Pretraining or post-training data pipelines for LLMs
Foundation-model training infrastructure
Web-scale text processing
Common Crawl or comparable large-scale datasets
Dataset curation for large language models
LLM-based data-quality evaluation
ML classifiers for filtering or scoring training data
Large-scale data acquisition
Dataset deduplication and contamination detection
Distributed ML/data infrastructure

Experience with vLLM, SGLang, Docker, Kubernetes, infrastructure-as-code, experiment tracking or open-source NLP/data tooling would also be valuable.

Apply About employer

More about this job

Responsibilities

Design and scale infrastructure to transform raw, web-scale unstructured text into high-quality datasets for training advanced AI models. Develop automated data-quality systems, filtering mechanisms, and internal tools to support AI researchers.

Requirements

Requires 5+ years of experience in machine learning engineering or data infrastructure with strong production-level Python skills. Must have hands-on experience with distributed processing technologies like Spark or Ray and working with large-scale unstructured text datasets.

Skills

Python
Spark
Ray
Flink
NLP
LLM Training Data
Distributed Data Processing
Airflow
Prefect
Dagster
Data Curation
Kubernetes
Docker
vLLM
SGLang
Data Pipeline Design

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Engineering
NLP
LLM
Foundation Models
Web-scale Data
Deduplication
PII Detection
Content-safety Filtering
Common Crawl
Data Leakage Detection
Distributed Systems
Infrastructure-as-code
Experiment Tracking
Data Governance
Trillion-token Scale
Heuristic Filtering
Model-based Quality Scoring
vLLM
SGLang
Docker
Kubernetes
Airflow
Prefect
Dagster
Spark
Ray
Flink
Python
Data Pipelines

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