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Added 1 day ago
TH
Product Manager II, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 1 day ago
Développeur.se de logiciels sénior.e - applications dorsales / Senior Software Developer - Backend
Electronic Arts
Vancouver, BC
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into backend architecture. You will translate ideas from…
Added 1 day ago
SQ
Manager Forecasting, Workforce Management
Sunlife Québec
Montreal, QC
- Full-time
Proven experience building and managing forecasting models using multiple toolsets including Python and AWS Sagemaker
Added 1 day ago
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Forward Deployed Developer (Python)
AlayaCare
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are seeking a Fullstack Developer (Python) to join our Market team. You will work across the full stack, take ownership of customer-specific needs, and work directly with customers to…
Added 1 day ago
ES
Senior DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, BC
- Full-time
4+ years of relevant experience with public cloud services (especially Azure, AWS, and GCP), including design, implementation, and operational support of critical systems.
Added 1 day ago
SA
Senior IT Infrastructure Administrator, DevOps
Style Analytics
Montreal, QC
- Full-time
Microsoft Azure | Terraform | Jenkins | CI/CD | Git | Windows | Linux | Active Directory | Python | PowerShell | Bash | Ansible | AWS | Generative AI tools including Claude
Added 1 day ago
SA
Senior IT Infrastructure Administrator, DevOps
Style Analytics
Toronto, ON
- Full-time
Microsoft Azure | Terraform | Jenkins | CI/CD | Git | Windows | Linux | Active Directory | Python | PowerShell | Bash | Ansible | AWS | Generative AI tools including Claude
Added 1 day ago
Senior DevOps Engineer - EA Sports Technology
Electronic Arts
Vancouver, BC
4+ years of relevant experience with public cloud services (especially Azure, AWS, and GCP), including design, implementation, and operational support of critical systems.
Added 1 day ago
K
FULLSTACK ENGINEER
Kablamo
Toronto, ON
- Full-time
Experience with back-end programming languages (Python, Go, JavaScript, Java, C#)
Added 1 day ago
RB
Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 1 day ago
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Senior Analyst, Credit Risk Model Validation
BMO
Toronto, ON · FCP
- Full-time
Working with Big data tools and Cloud platforms (AWS/Azure) is a plus.
Added 1 day ago
SL
Director, AI Engineering
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
· Proficiency with Python and experience with data integration, data pipelines or extract, transform and load processes.
Added 1 day ago
SL
Manager Forecasting, Workforce Management
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Montreal Metcalfe
- Full-time
Proven experience building and managing forecasting models using multiple toolsets including Python and AWS Sagemaker
Added 1 day ago
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Early Careers: Technical Content DevOps Developer
Fortinet
Burnaby, BC
- Full-time
Join Fortinet, a cybersecurity pioneer with more than two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and…
Added 1 day ago
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Senior Java Full Stack Developer
EngRadar
Ottawa, ON
- Volunteer
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 day ago
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Senior AI Engineer - Oncology Biometrics
WATAR-AI
Canada
- Full-time
Build production backend services (Python, FastAPI), RAG pipelines, and MCP/API integrations with enterprise systems, and deliver the user-facing application, directly or with front-end…
Added 1 day ago
CT
Senior IT Infrastructure Administrator, DevOps
Confluence Technologies
Montreal, QC
- Full-time
Microsoft Azure | Terraform | Jenkins | CI/CD | Git | Windows | Linux | Active Directory | Python | PowerShell | Bash | Ansible | AWS | Generative AI tools including Claude
Added 1 day ago
CT
Senior IT Infrastructure Administrator, DevOps
Confluence Technologies
Toronto, ON
- Full-time
Microsoft Azure | Terraform | Jenkins | CI/CD | Git | Windows | Linux | Active Directory | Python | PowerShell | Bash | Ansible | AWS | Generative AI tools including Claude
Added 1 day ago
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Full Stack Engineer
RBC
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 1 day ago
BH
Senior Full-Stack Developer
Blair Health
Remote, Canada
- $125,000 to $150,000 CAD / year
- Full-time
- Remote
We are hiring a Senior Full-Stack Developer to build the products our patients, clinicians and employer clients use every day. You will own features end to end, from patient intake and…
Added 1 day ago
Early Career Software Developer - Landmark
Halliburton
Calgary, AB
Cloud, Platform and DevOps: Azure or AWS, Docker, Kubernetes, CI/CD, infrastructure automation, observability, or developer-platform tooling.
Added 1 day ago
EL
Security DevOps Engineer
EnStream LP
Toronto, ON
- Full-time
…evenly between cloud security and DevOps. Working alongside our Senior Platform Engineer, this role strengthens EnStream’s hybrid operating model by owning the security posture of our AWS…
Added 1 day ago
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Senior Full Stack Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
Are strong in Python on the backend (FastAPI, Django or similar) and strong TypeScript with React on the frontend.
Added 1 day ago
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Senior Data Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
Have experience with AWS data services such as S3, managed databases, streaming and serverless compute.
Added 1 day ago
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Senior Platform Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
Cloud foundation: Design our AWS environments as code, from networking and compute to managed databases and storage, so any environment can be rebuilt from scratch with confidence.

Foresight

Senior Data Engineer

Montreal, QC, Canada

$180,000 to $240,000 CAD / year · Full-time

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Job details

Pay: $180,000 to $240,000 CAD / year
Job type: Full-time
Apply by: May 5, 2027
Experience: Have 5+ years of experience building and running production data pipelines, with ownership from source to consumer.
Posting language: English
Posted: Nov 6, 2026

Original job description

About Foresight

Foresight's mission is to bring the world's critical infrastructure into service faster by better enabling teams to deliver complex capital projects.

The AI buildout runs on physical things: data centers, power, and the supply chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a project slips, the people who could fix it usually find out last. For an AI data center, a month late can mean tens of millions in lost revenue.

Foresight is the control tower for these projects. We connect schedules, field progress and execution data across every party, forecast where delivery is heading, and help teams act before a delay becomes a missed date. On one 15-project portfolio, Foresight found a project 245 days behind, cut reporting overhead by 90%, and helped prevent more than $100M in lost revenue.

We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and are headquartered in New York.

The role

We're looking for a Senior Data Engineer to build the data foundation behind Foresight.

You will build the pipelines that take complex project data from the tools our customers already use and turn it into clean, trusted, well-modeled data. That data powers our predictions, AI recommendations, analytics and customer reporting. This is a hands-on role on a new team, for someone who cares about data being correct, explainable and available when it matters.

At Foresight, data engineering is product engineering. Every number a customer sees, every forecast and every recommendation starts with data you made trustworthy. This could translate to work on:

Ingestion from industry tools: Build robust pipelines that bring in project data from the scheduling and planning tools the industry runs on, and handle every messy, inconsistent file along the way.
A reliable history of every update: Model data so each update is preserved exactly as it arrived, and teams can compare any two points in time with confidence.
Data that powers ML and AI: Build the features, training datasets and search indexes behind our predictions and AI recommendations, and keep them fresh as new data lands.
Analytics and reporting: Build the models and pipelines behind customer dashboards, stakeholder reports and exports, plus the internal analytics we run the business on.
Quality, isolation and governance: Build automated data-quality checks, lineage and access controls, so every customer's data stays accurate, isolated and in the region it belongs.

What You'll Do

Own pipelines from design through production: define data contracts, set freshness and quality targets, and keep them met.
Partner with ML engineers on the features and datasets their models need, and with full stack engineers on the data behind each product feature.
Design for failure: pipelines that retry safely, can be re-run without duplicating data, and recover cleanly from bad inputs.
Make data observable, so problems are caught by monitors before a customer notices them.
Keep cost in check as data volumes grow, choosing the simplest tool that does the job well.
Help set the team's data standards and shape the platform as one of its first data engineers.

Requirements

You might be a fit if you

Have 5+ years of experience building and running production data pipelines, with ownership from source to consumer.
Are strong in Python and advanced SQL, including writing and tuning complex queries.
Have deep data modeling experience in Postgres or a similar relational database: schema design, indexing, partitioning and migrations.
Have experience parsing and normalizing messy real-world data: large files, inconsistent formats, missing or contradictory values.
Are hands-on with workflow orchestration for multi-step pipelines with dependencies, retries and backfills.
Have experience with AWS data services such as S3, managed databases, streaming and serverless compute.
Havea testing mindset for data: validation, quality checks, and reproducible, idempotent pipelines.
Are clear in communication and comfortable making pragmatic trade-offs on a small team.

Bonus points

Experience preparing data for ML: feature pipelines, training datasets, and keeping offline and online data consistent.
Experience with embeddings and vector search (pgvector or a search engine) for AI features.
Event-driven data: change data capture, streaming platforms, and the outbox pattern.
Familiarity with project scheduling data or tools from construction, engineering or energy.
Working with regulated enterprise or public-sector data: SOC 2, GDPR, data residency.
Infrastructure as code and CI/CD for data pipelines.
Early-stage or founding-team experience.

None of these are required. If the core of this role excites you, apply.

Benefits

Why join now

Real stakes, real customers. Real stakes, real customers. You won't be building for a hypothetical buyer. Owners and contractors are building now, on deadlines measured in revenue per day.
Blank canvas, solid ground. You get first-engineer level scope on a product that already has paying customers, real data and proven outcomes to tell.
Defining a category.Agentic software for physical infrastructure is a new category. What you build will become the standard.
Small, senior team. Flat, direct, low on process. We debate openly, decide quickly and ship.

Compensation and location

Total Comp: $180,000-240,000, based on experience, level, and location
Benefits: Health, Dental, Vision, 401(k), PTO .
Location: New York, San Francisco, and Montreal are preferred. Occasional travel to may be required

Foresight is an equal opportunity employer. We welcome applicants of every background and do not discriminate on any protected basis.

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More about this job

Responsibilities

Build and operate reliable data pipelines that ingest, normalize, model, and preserve project data from customer tools, powering product features, analytics, reporting, and AI/ML systems. Establish data quality, observability, governance, and cost-effective platform standards while partnering with ML and full-stack engineers.

Requirements

Candidates should have at least five years of experience owning production data pipelines, strong Python and advanced SQL skills, and deep experience with relational data modeling. They should also be experienced with messy real-world data, workflow orchestration, AWS data services, and testing reliable, reproducible pipelines.

Skills

Python
Advanced SQL
Data Pipelines
Data Modeling
PostgreSQL
Data Parsing And Normalization
Workflow Orchestration
AWS
Data Quality Testing
Idempotent Pipeline Design
Machine Learning Data Preparation
Feature Pipelines
Vector Search
Event-Driven Data
Infrastructure As Code
CI/CD

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(K)
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PostgreSQL
AWS
Amazon S3
Managed Databases
Streaming
Serverless Compute
Data Pipelines
Data Contracts
Data Modeling
Workflow Orchestration
Data Quality
Data Lineage
Access Controls
Machine Learning
Feature Pipelines
Training Datasets
Embeddings
Vector Search
Pgvector
Change Data Capture
Outbox Pattern
Data Residency
SOC 2
GDPR
Infrastructure As Code
CI/CD
Project Scheduling Data
Idempotent Pipelines

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