Jobs in Saint-Eustache, QC and nearby

Jobs within 25 km of Saint-Eustache, QC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

24,870 listings · 3,735 employers Counted Oct 25, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (770 listings), Bombardier (597 listings), RI-MUHC | Research Institute of the MUHC | #rimuhc (594 listings).

Common roles: Project manager, Retail sales associate, Software developer.

1,845 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	25.00	979
CAD / year	80,000.00	744
USD / hour	55.00	53
USD / year	100,000.00	43

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.

Workplace classifications: 0% remote, 33% hybrid, 67% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Saint-Eustache, QC and nearby

Within 25 km

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Added 4 days ago
D
Operations Support Agent
Desjardins
Montreal, QC
- Full-time
Added 4 days ago
C
Manager, Client Advice - Laval
CIBC
Laval, QC
- Full-time
Added 4 days ago
B
Étudiant en pharmacie
Beneva
Montreal, QC
- Part-time
Added 4 days ago
A
Spécialiste en Intégration des Système Hypersustentateurs / High Lift System Integration Specialist
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Added 4 days ago
PA
Ground Operations Manager
PAL Airlines
Montreal, QC
- Full-time
Added 4 days ago
M
Manager - Administrative Services Only (ASO) Billing
Manulife
Montreal, QC
- Full-time
Added 4 days ago
IF
IT User Support II
Intact FC
Laval, QC
- Full-time
Added 4 days ago
IF
Agent(e) indemnisation I
Intact FC
Laval, QC · Montreal, QC
- Full-time
Added 4 days ago
Customer Experience Associate (Canada)
Scotiabank
Laval, QC
Added 4 days ago
S
Agent.e Méthodes - Support Production (contrat 12 mois)
SOGECLAIR
Montreal, QC
- Full-time
Added 4 days ago
L
Operateur.trice de chariot élévateur, quart de soir
Logistec
Montreal, QC
- Full-time
Added 4 days ago
AC
Développeur·euse C / Python
ALTEN Canada
Montreal, QC
- Full-time
Added 4 days ago
GK
Leasing Agent / Agent de location
Gestion Kasai
Montreal, QC
- Full-time
Added 4 days ago
L
Coordinnateur.trice, logistique
Logistec
Montreal, QC
- Full-time
Added 4 days ago
R&
Customer Service Professional - Bilingual III
Robertson & Company Ltd.
Montreal, QC
- Contract
Added 4 days ago
SD
Spécialiste des ventes internes / Inside Sales Specialist
Sygnature Discovery
Montreal, QC
- Other
Added 4 days ago
S
Ingénieur(e) Senior - Compatibilité électromagnétique (CEM)
SOGECLAIR
Montreal, QC
- Full-time
Added 4 days ago
QM
Contrôleur adjoint - Montréal - Atwater - 75 k$ à 95 k$ / Assistant Controller - Montreal - Atwater
Quantum Management Services Ltd.
Montreal, QC
- $75,000 to $95,000 CAD / year
- Full-time
Added 4 days ago
SD
Spécialiste des ventes internes / Inside Sales Specialist
Sygnature Discovery
Laval, QC
- Other
Added 4 days ago
WH
System Administrator
Web Hosting Canada (WHC)
Montreal, QC
- Full-time
Added 4 days ago
A
Technicien(ne) comptable immobilier - Real Estate Accounting Technician
Azor
Montreal, QC
- Full-time
Added 4 days ago
Manager, Underwriting
The Canada Life Assurance Company
Montreal, QC
Added 4 days ago
Financial Analyst
ASSA ABLOY
Vaudreuil-Dorion, QC
Added 4 days ago
Stage TI_Hiver 2027
KRAFTON Montréal Studio
Montreal, QC
Added 4 days ago
TC
Coordonnateur / Coordonnatrice Service clientèle Temps Plein Marshalls/Homesense - Centre Laval
TJX Companies
Laval, QC
- Full-time

Compass, a Kicksaw Company

Data Engineer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: May 15, 2026

Original job description

Role Description

Compass Analytics is excited to recruit a talented and driven Data Engineer to join our growing Analytics Delivery team. The ideal candidate will have a passion for building data solutions, including pipeline development, implementing DataOps best practices, and collaborating with stakeholders.

About Compass Analytics

Compass Analytics specializes in delivering end-to-end data solutions to clients across diverse industries ranging from Aviation, Healthcare, Financial Services, Retail, and Sports. Our expertise spans across multiple disciplined including Data Architecture, Data Engineering, Data Governance, Artificial Intelligence & Machine Learning, Process Automation, and Dashboarding. We pride ourselves on fostering a culture that emphasizes purpose in what we are building for our clients, elegance and rigor in how we work with everyone, and a fun environment as we get work done.

Based in Montréal, Québec, Compass Analytics is composed of talented data professionals who support their clients in their data transformation initiatives. Our clients lean on us to bring their data ideas into reality.

Role Details

Position: Data Engineer
Number of Open Roles: One (1)
Location: Montreal, QC (Hybrid)
Duration: Permanent Full-Time

Key Responsibilities

Under the guidance of our Leadership Team & Project Managers, the Data Engineer will be responsible for the following tasks:

Collaborate with stakeholders to design and implement scalable and efficient data architecture, including table structures, lineage, and data flow across layers.
Conduct data audits on source systems to document and address potential quality issues.
Build and maintain data ingestion and transformation pipelines to ensure reliable and timely data delivery.
Develop and implement production-ready pipelines with a focus on DataOps best practices for monitoring, orchestration, and automation.
Establish and implement data governance standards, ensuring data availability, usability, integrity, and security.
Create and maintain comprehensive technical documentation for all completed work.
Support AI and Machine Learning projects as well as other projects within the scope of the assigned mandate (e.g., dashboarding or automation).

Technical Capabilities

Programming Languages: Proficiency in SQL and Python is essential; experience with Scala, Spark, or other languages is a plus.
Platforms: Knowledge of platforms suchs as Databricks, Snowflake, AWS, Azure, or Google Cloud.
DataOps: Familiarity with CI/CD pipelines and tools such as GitHub for version control and deployment.
Collaboration Tools: Experience with JIRA and Confluence is a plus.

Minimum Requirements

Education: Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.

Preferred Qualifications

Problem Solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
Organized & Rigorous Approach: Strong organizational skills and attention to detail, ensuring rigor in development and accuracy in outputs.
Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

How To Apply

APPLICATION PORTAL

If you’re excited about leveraging your skills to create impactful data solutions, we’d love to hear from you! Please submit your resume, cover letter, along with any other portfolio assets through our website’s careers section.

Application URL: https://www.compassdata.ca/careers

Step 2: LEADERSHIP INTERVIEWS – 2 ROUNDS

Selected candidates will be invited to interview (read: have a conversation) with William Chan, Scott Carr, or Pentcho Tchomakov. The interview will last between 30-60 minutes. You will be asked to present your experiences and previous work deliverables/projects. The interview is an opportunity for us to get to know each other better!

Step 2a: TECHNICAL INTERVIEW

Selected candidates will be re-invited for a technical interview in form of a take home case. Candidates will have several days to complete the technical case and present it to a small panel in the form of an open Q&A conversation.

Step 3: FORMAL OFFER

The selected candidate will receive a verbal and written offer (via email). Once accepted and signed, you will begin the new employee onboarding process!

Apply About employer

More about this job

Responsibilities

Design scalable data architectures, audit source data, and build and maintain reliable ingestion and transformation pipelines. Apply DataOps and governance practices, document technical work, and support AI/ML, dashboarding, and automation projects.

Requirements

A bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related field is required, along with proficiency in SQL and Python. The role also calls for analytical problem-solving, strong organization and attention to detail, and effective written and verbal communication; experience with cloud platforms and CI/CD tools is relevant.

Skills

SQL
Python
Data Architecture
Data Engineering
Data Pipeline Development
Data Ingestion
Data Transformation
DataOps
CI/CD
Data Governance
Data Quality
Data Lineage
Databricks
Snowflake
Cloud Platforms
Technical Documentation

Visa sponsorship

Not detected in the job text

Hiring contact

William Chan

Keywords

SQL
Python
Scala
Spark
Databricks
Snowflake
AWS
Azure
Google Cloud
GitHub
JIRA
Confluence
Data Architecture
Data Engineering
Data Pipelines
Data Ingestion
Data Transformation
DataOps
CI/CD
Data Governance
Data Quality
Data Lineage
Data Flow
Data Audits
Monitoring
Orchestration
Automation
Artificial Intelligence
Machine Learning
Dashboarding

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