Data engineer jobs in Sainte-Thérèse, QC and nearby

Within 25 km

Group jobs by employerEmail me new jobs Save this search

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 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 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…

No more jobs.

Tecsys Inc.

Data Engineer (DevOps)

Montreal, QC, Canada

Full-time

Apply on apply.workable.com About employer

Application link verified · Nov 14, 2026. Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Aug 12, 2026

Original job description

Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.

About Us

Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!

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 products on Databricks and AWS.

You will own the infrastructure-as-code and delivery pipelines that provision and deploy the platform, and the Databricks jobs and streaming pipelines that move and shape data through it. You'll partner closely with Data Platform Developers, application dev teams, and Product Owners - standing up new customer environments, evolving the CI/CD and release process, and creating and maintaining the data pipelines that keep the platform running reliably at scale. If you are equally comfortable writing Terraform and debugging a Spark Structured Streaming job, this role is for you.

Responsibilities

Platform & DevOps

Provision and evolve AWS and Databricks accounts and workspaces using Terraform across multiple regions and environments, managing remote state and per-environment configuration
Own the Helm charts and Kubernetes Jobs that onboard new customer environments and deploy the application layer onto provisioned workspaces
Build and maintain Docker images and the Java/Maven build pipeline, publishing artifacts to internal artifact and container registries
Integrate build, test, and deployment into CI/CD pipelines, and improve release management and versioning across interdependent repositories
Manage secrets and credentials safely through cloud secret management and Kubernetes - never in source control

Data Platform & Pipelines

Design, build, and maintain Databricks jobs and pipelines - including data curation, transformation, and initial bulk-load workflows
Develop and operate real-time streaming and change data capture (CDC) pipelines across the ingestion and transformation layers using Spark Structured Streaming
Build and evolve end-to-end data movement across the Bronze, Silver, and Gold data layers, extending pipelines to handle new sources and schema changes as the platform grows
Develop and maintain reusable pipeline components and frameworks so new data workflows can be onboarded and shipped quickly
Tune clusters and SQL warehouses for cost and performance, and manage catalog, schema, and access governance across environments
Collaborate with Data Platform Developers, Product Owners, and business stakeholders in an Agile environment to deliver high-quality data products

Requirements

Qualifications

Hands-on experience with Databricks and Apache Spark, including building batch or streaming data pipelines (mandatory)
Strong Terraform skills and comfort managing cloud infrastructure on AWS
Working knowledge of Kubernetes and Helm, and containerization with Docker
Proficiency in Python (PySpark) and/or Java, plus strong SQL for data validation and troubleshooting
Experience with Git-based workflows and CI/CD pipelines in a multi-repository codebase
Understanding of data quality, ETL/ELT, and data observability concepts
Experience working in Agile teams alongside Data Platform Developers and Product Owners
Strong analytical, problem-solving, and communication skills

We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.

At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.

Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.

NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada, OR, have a valid Canadian work permit.

Apply on apply.workable.com About employer

More about this job

Responsibilities

The role involves provisioning and evolving AWS and Databricks infrastructure using Terraform and managing Kubernetes-based deployments. Additionally, the engineer will design and maintain real-time streaming and batch data pipelines across Bronze, Silver, and Gold layers.

Requirements

Candidates must have hands-on experience with Databricks, Apache Spark, and Terraform for cloud infrastructure management on AWS. Proficiency in Python, Java, and SQL, along with experience in CI/CD pipelines and Agile methodologies, is required.

Skills

Databricks
Apache Spark
Terraform
AWS
Kubernetes
Helm
Docker
Python
PySpark
Java
SQL
CI/CD
Git
ETL/ELT
Spark Structured Streaming
Data Observability

Benefits

Pension plan with employer contribution
Benefits and vacation from day one
Remote-first flexibility
Employee events and community initiatives

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Apache Spark
AWS
Terraform
Kubernetes
Helm
Docker
Python
PySpark
Java
SQL
CI/CD
Git
ETL
ELT
Spark Structured Streaming
CDC
Data Curation
Data Observability
Agile
Infrastructure as Code
Maven
Cloud Secret Management
Data Platform
Supply Chain Solutions

Perks

Generous paid time off
Flexible hours
Retirement plan

Tools

Databricks
Apache Spark
Terraform
AWS
Kubernetes
Helm
Docker
Maven
Git

Languages

English

Report this job

Hiring at a glance

Advertised starting pay

Where work happens

Data engineer jobs in Sainte-Thérèse, QC and nearby

Staff Data Engineer

Data Engineer