Data engineer jobs in Westmount, QC and nearby

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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
We are seeking a Staff Data Engineer to join our growing team. Our data platform spans a wide surface area: infrastructure, CDC streaming, Databricks operations and runtime, data pipelines,…
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
Garantir la traçabilité (data lineage) et la qualité des données à chaque étape du traitement.
Added 3 months ago
TI
Data Engineer (DevOps)
Tecsys Inc.
Montreal, QC
- Full-time
We're looking for a Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI…
Added 3 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 3 months ago
Ingénieur Data / Data Engineer
mthree Recruiting Portal
Montreal, QC
We are looking for someone to be a part of a dynamic team as a Data Engineer for one of our clients. This position is for a data engineering role in the MongoDB and Kafka squad. We are a…
Added 3 months ago
Senior Data Engineer
Talents LGS
Montreal, QC
As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Senior Data Engineer – Hybrid Cloud & Data to participate in the design,…
Added 5 months ago
P
Data Engineer
PartsAvatar.ca
Montreal, Quebec
- Full-time
Location: Downtown Montreal, Quebec (Hybrid: 3 days in office, 2 days remote) · Hybrid work schedule (3 days in office, 2 days work from home)
Added 6 months ago
Ingénieur en Données Géospatiales / Geospatial Data Engineer
Shearwater
Montreal, QC
Help us build the data backbone for autonomous drone operations. You'll work directly with our CTO to create geospatial processing systems that enable intelligent flight decision-making.
Added 3 months ago
T
Senior Data Engineer
Trackforce
Montreal, QC
- Full-time
Trackforce is seeking a highly skilled and motivated Senior Data Engineer to join our Data team. In this role, you will be responsible for designing, building, and maintaining the data…
Added 2 months 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 4 months ago
Ingénieur data / Data Engineer
mthree
Montreal, Quebec
We are looking for someone to be a part of a dynamic team as a Data Engineer for one of our clients. This position is for a data engineering role in the MongoDB and Kafka squad. We are a…
Added 5 months ago
B
Data Engineer
Bounteous
Montreal, Quebec
- Full-time
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

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Trackforce

Senior Data Engineer

Montreal, QC, Canada

Full-time

Apply on jobs.lever.co About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Jul 22, 2026

Original job description

At Trackforce, we are transforming physical security operations that are managed around the world. As the leading SaaS platform for physical security workforce management, we provide security companies and organizations with a streamlined solution to manage their guard forces, respond faster, operate more efficiently, and reduce costs - all while staying focused on safety and protection.

We support 4,600+ clients across more than 50 countries and are proud to be a growing team of 300+ professionals. With our headquarters in Dallas, Texas, and Centers of Excellence in Montreal, Quebec and Wroclaw, Poland, we collaborate across regions and time zones in a hybrid work environment that combines flexibility, connection, and meaningful impact.

At Trackforce, we operate in both hybrid and remote models, offering flexibility to balance in‑office collaboration with WFH. This approach allows our teams to stay connected while maintaining autonomy and work‑life balance. We are highly focused on delivering value to our customers, and our recent merger has strengthened our position as the market leader in security workforce management software.

\n\n

Trackforce is seeking a highly skilled and motivated Senior Data Engineer to join our Data team. In this role, you will be responsible for designing, building, and maintaining the data infrastructure that powers our SaaS platform, enabling clients across the globe to manage their security workforces with speed, accuracy, and insight.

You'll design and ship the pipelines and data models that move multi-tenant data from our platform into a modern, query-ready foundation. And you'll help shape the technical direction alongside the engineering manager and the team as we define the strategy. This is a zero-to-one role for someone who wants to build the foundation, not inherit it.

This is a high-impact, technically deep role for an engineer who is passionate about scalable data systems, thrives in a collaborative environment, and is eager to help shape the data foundation of a growing global SaaS company.

WHAT YOU'LL BE DOING;

Data Architecture & Pipeline Development

Design, build, and operate scalable ETL/ELT pipelines that ingest, transform, and load multi-tenant data into a data warehouse/lakehouse.
Build for change data capture (CDC) and high-volume, near-real-time ingestion; tune pipelines for reliability, performance, and cost.
Help design the data models and lakehouse schema that make client-facing data accurate, performant, and secure to expose per tenant.
Contribute to the API-as-product effort - data access patterns, versioning, and documentation that clients depend on.

Quality, governance & security

Establish data quality monitoring, alerting, and observability across core data domains.
Implement multi-tenant data isolation and governance practices appropriate for enterprise, compliance-sensitive clients.
Act as a go-to for investigating and resolving data integrity and availability issues.

Collaborate & elevate

Partner across Product, Engineering, and DevOps to turn requirements into pragmatic data solutions.
Share knowledge and mentor teammates as the team grows; help set a high bar for engineering quality.
Use AI-assisted development tools in your own workflow (pipeline code, query optimization, documentation) and share what works.
Build with an eye toward a data foundation that can later power analytics and AI/agent-based capabilities.

WHAT WE'RE LOOKING FOR:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent hands-on experience).
7+ years in data engineering, with strong SQL and relational data modeling on large datasets.
Proven experience designing and operating ETL/ELT pipelines into a data warehouse or data lake/lakehouse.
Hands-on with AWS data services (e.g., S3, Glue, Athena; DMS or similar CDC tooling)
Experience with distributed data processing (e.g., Spark/PySpark) and modern lakehouse table formats (e.g., Apache Iceberg, Delta), or a strong track record that transfers.
Comfortable with streaming/queue-based ingestion (e.g., Kinesis, SQS, Kafka) and building for scale and failure.
Solid grounding in data governance, quality, and compliance, ideally for multi-tenant SaaS data.
Proficiency in pipeline automation.
Clear communicator who ships pragmatically in ambiguity.
Nice to have: dbt or similar transformation frameworks; experience exposing client-facing data via APIs or governed data sharing; SaaS or workforce-management/physical-security domain exposure; familiarity with AI/ML data infrastructure patterns.

Success Metrics

Success in this role will be measured by the following outcomes within the first 3,6 and12 months:
First 90 days: ship a first working pipeline component end-to-end and, with the team, produce a prioritized plan for the data platform build-out.
6 months: demonstrable improvements in pipeline reliability and processing performance; a repeatable pattern for onboarding new data domains.
12 months: governance and quality monitoring established across core domains; at least one major, production-grade pipeline/lakehouse component powering a client-facing or analytics capability.
Trusted collaborator - strong cross-functional feedback on delivery, knowledge sharing, and raising the technical bar.

Our office is now located at 2020 Blvd Robert‑Bourassa, Suite 2000, Montreal, QC H3A 2A5, offering a more central and easily accessible workspace.

Benefits We Offer

· Hybrid and flexible work model

· Three weeks of vacation starting in your first year

· Paid sick days & family obligation days

· Comprehensive health & dental coverage from Day 1

· 24/7 telemedicine access

· Mental health & wellness support

· Life insurance, AD&D, long term‑ disability & critical illness coverage

· RRSP & DPSP with employer matching

· Employee referral bonus

· Paid volunteer day & recognition programs

At Trackforce, we are committed to providing an inclusive, respectful, and discrimination‑free workplace. We do not tolerate discrimination or harassment of any kind and make employment decisions based on qualifications, merit, and business needs. We proudly comply with local employment laws and are an equal opportunity employer in all locations where we operate.

Apply on jobs.lever.co About employer

More about this job

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines and data models to power a multi-tenant SaaS platform. Establish data quality monitoring, governance, and security practices while collaborating cross-functionally to deliver pragmatic data solutions.

Requirements

Requires a Bachelor's degree and 7+ years of experience in data engineering with strong SQL and AWS data services expertise. Must be proficient in distributed data processing, streaming ingestion, and data governance for SaaS environments.

Skills

SQL
Relational Data Modeling
ETL/ELT Pipelines
AWS Data Services
Spark/PySpark
Apache Iceberg
Delta Lake
Kinesis
SQS
Kafka
Data Governance
Pipeline Automation
Multi-tenant Data Isolation
CDC Tooling
Data Architecture
API Development

Benefits

Hybrid and flexible work model
Three weeks of vacation starting in your first year
Paid sick days & family obligation days
Comprehensive health & dental coverage from Day 1
24/7 telemedicine access
Mental health & wellness support
Life insurance
AD&D
Long term‑ disability & critical illness coverage
RRSP & DPSP with employer matching
Employee referral bonus

Visa sponsorship

Not detected in the job text

Keywords

SaaS
Data Engineering
AWS
S3
Glue
Athena
DMS
CDC
PySpark
Apache Iceberg
Delta Lake
Kinesis
SQS
Kafka
dbt
Lakehouse
Data Warehouse
Multi-tenancy
Data Governance
ETL
ELT
API
Data Modeling
SQL
Physical Security
Workforce Management
AI Infrastructure
Data Quality
Observability
Distributed Processing

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Data engineer jobs in Westmount, QC and nearby