Jobs in Canada

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Added 1 month ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 1 month ago
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Full-Stack Engineer, ML Tooling and Infrastructure
Mecka
Remote, Canada
- $130,000 to $180,000 CAD / year
- Full-time
- Remote
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.
Added 1 month ago
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Senior Software Engineer, Frontend
Sardine
Remote, Canada
- $160,000 to $210,000 CAD / year
- Full-time
- Remote
As a frontend-focused Senior Software Engineer, you will own the design and delivery of the user-facing experiences at the heart of our AI products. Your primary focus is building polished,…
Added 1 month ago
GD
Co-op Winter 2027 – Systems Test Engineering - 4-8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Working under guidance from a senior engineer, develop and perform test cases to validate specific requirements;
Added 1 month ago
Modern Workplace Engineer - Intune & Endpoint Management
Scotiabank
Toronto, ON · Scarborough, ON
Experience with Python, REST APIs, and cloud automation.
Added 1 month ago
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Senior Full-Stack Developer
SJC
Toronto, ON · North York, ON
- $100,000 to $120,000 CAD / year
- Full-time
Ramp up on and eventually contribute to the technical implementation of our ad stack, including Header Bidding and Google Ad Manager, working closely with our AdOps engineer.
Added 1 month ago
SI
Principal Physical Design Methodology Engineer
Synopsys Inc
Markham, ON
- Full-time
…flow that looks good in a deck and one that survives contact with a 3nm tapeout schedule. Somewhere along the way, you stopped being the engineer who executes the methodology and became the…
Added 1 month ago
MC
Staff Software Engineer
Moody's Corporation
Toronto, ON
- Full-time
Strong proficiency in C++ and Python; additionally, experience with GPU-accelerated computing preferred
Added 1 month ago
PC
Google Workspace Customer Engineer #116
Premier Cloud
Victoria, BC
- $80,000 to $115,000 CAD / year
- Full-time
As a Google Workspace Customer Engineer at Premier Cloud, your role requires close, proactive collaboration and seamless, professional interaction with a diverse range of internal and…
Added 1 month ago
Short Term 2027 Data Analyst Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
…Analytics, Data Engineering, Computer Engineering, Electrical Engineer, Computer Science or a related…
Added 1 month ago
Summer 2027 Long Term AGS Libraries Intern/Co-op
Advanced Micro Devices, Inc
Calgary, AB
…on the next generation of AMD hardware. You will be working with code in C++ and Python, and you will get hands on and dirty with our chips, learning how they work at the lowest…
Added 1 month ago
Short Term 2027 Graphics Software Engineering Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
There are a wide variety of software engineering opportunities available such as application, kernel, graphics, AI development. As an AMD Software Engineer, you can expect to –
Added 1 month ago
Summer 2027 Long Term Graphics Software Engineering Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
There are a wide variety of software engineering opportunities available such as application, kernel, graphics, AI development. As an AMD Software Engineer, you can expect to –
Added 1 month ago
Integration Engineer - SHIFT
Mariner
AB · NB
We are looking for an Integration Engineer – BAS/HVAC Systems to join our team. This individual will be a hands-on subject matter expert on HVAC and central plant systems and will own the…
Added 1 month ago
GM
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
- Full-time
Strong programming ability in Python, Go, Java, or a comparable language, with disciplined code review, version control, testing, and maintainability practices.
Added 1 month ago
AI Applied Engineer, Business Solutions
OpenTable
Toronto, ON
The Applied AI Engineer, Business Solutions combines business acumen with software and data engineering skills to solve high-impact problems through AI. This position requires excellent…
Added 1 month ago
R
Air Quality Scientist
RWDI
Calgary, AB
- $50,000 to $85,000 CAD / year
- Full-time
…while minimizing environmental, user, and resource impact. With deep technical expertise across a broad range of services, we drive success on ambitious building, industry, and…
Added 1 month ago
R
Air Quality Scientist
RWDI
Guelph, ON
- $50,000 to $85,000 CAD / year
- Full-time
…while minimizing environmental, user, and resource impact. With deep technical expertise across a broad range of services, we drive success on ambitious building, industry, and…
Added 1 month ago
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Staff Engineer, Data Platform
NationGraph
Toronto, ON
- $200,000 to $240,000 CAD / year
- Full-time
You’re an unusually strong engineer who genuinely enjoys working with data.
Added 1 month ago
D
Senior Software Engineer
Deltek
Calgary, AB
- $100,000 to $120,000 CAD / year
- Full-time
Deltek is looking for a Senior Software Engineer to join our established Replicon Core team, a tight-knit group of full-stack developers, architects, and rising talent building products…
Added 1 month ago
C
Infrastructure Operations Engineer-EN
CAE
Montreal, QC
- Full-time
At CAE, our Technology & Product Development team is dedicated to shaping the future with immersive systems and pioneering technologies that elevate safety and readiness worldwide. From…
Added 1 month ago
NS
Lead AI Back-End Engineer
Network Solutions
Canada
- Full-time
Drive architecture for high throughput APIs built with .NET, C#, Python 3.11+, FastAPI async, SQLModel, and Semantic Kernel, from design documents through production rollout.
Added 1 month ago
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GenAI Architect
Lantern
Vancouver, BC
- Full-time
Proficiency in Python and experience with cloud-native development.
Added 1 month ago
ND
Lead AI Back-End Engineer
Newfold Digital
Canada
- Full-time
Drive architecture for high throughput APIs built with .NET, C#, Python 3.11+, FastAPI async, SQLModel, and Semantic Kernel, from design documents through production rollout.
Added 1 month ago
A
Agentic AI / Data Engineer - DC GPU
AMD
Oro-Medonte, ON
- $156,000 to $234,000 USD / year
- Full-time
AMD's Applied AI team works with the world's most demanding AI operators - frontier labs, NeoCloud providers, and AI-native companies - to make AMD Instinct GPU infrastructure the easiest…

NationGraph

Staff Engineer, Data Platform

Toronto, ON, Canada

$200,000 to $240,000 CAD / year · Full-time

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Job details

Pay: $200,000 to $240,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Aug 27, 2026

Original job description

Staff Engineer, Data PlatformAbout NationGraph NationGraph is building the data and intelligence layer for the public sector. More than 110,000 state and local government agencies across the U.S. independently publish information about: How they operate What they buy Who they work with What problems they are trying to solve That information is fragmented across millions of websites, documents, databases, procurement systems, meeting records, and public records. NationGraph turns that information into structured, connected, actionable intelligence for businesses selling to government. Founded in 2024, NationGraph is dedicated to making uncommon knowledge common, because public data should actually be public. The Role We’re looking for a Staff Engineer, Data Platform to own one of the most important technical problems at NationGraph: turning the outside world’s fragmented government information into a proprietary data advantage. This is not a traditional data engineering role focused on maintaining a warehouse or internal analytics. You’ll own the technical ecosystem that: Discovers external data Acquires it reliably Understands and extracts information from it Normalizes and connects it Validates its quality Makes it available to NationGraph’s products and models The scope starts with more than 110,000 independent state and local government agencies, but extends to federal data, Canada, and eventually public-sector information globally. You’ll work across: Data engineering Distributed systems Information retrieval Data modeling LLMs and agents Applied ML Entity resolution Knowledge graphs You’ll partner closely with Product, ML Research, and Infrastructure to determine both: How we acquire data What data NationGraph should have that nobody else does What You’ll Do Own our external data platform end-to-end Design systems spanning discovery, acquisition, extraction, normalization, entity resolution, validation, storage, serving, and monitoring. Establish the architecture and abstractions other engineers build on. Map the world of government data Develop a deep understanding of where government information lives. Understand how it is published, how it changes, and how information across thousands of institutions can be connected. Build systems for messy, real-world data Work across government websites, APIs, procurement systems, PDFs, spreadsheets, meeting records, and public records. Build for changing schemas, broken sources, conflicting records, and edge cases. Use AI to rethink the traditional data stack Work with our ML Research team to use LLMs, agents, and emerging models to: Discover new sources Understand unfamiliar schemas Extract structured information Resolve entities Monitor data quality Detect when sources change Build proprietary data flywheels Create systems where more data improves our models. Use better models to discover and understand more data. Continuously expand NationGraph’s underlying knowledge graph. Set technical direction Define the architecture for how NationGraph acquires and represents public-sector information. Make decisions that will shape the platform over the next several years. Help determine which technical investments create the strongest long-term data advantage. You Might Be a Good Fit If You’re an unusually strong engineer who genuinely enjoys working with data. You’ve owned significant production data systems end-to-end. You enjoy the detective work of making sense of unfamiliar, messy datasets. You’re strong in Python, Go, or another systems/backend language. You’re highly proficient with SQL. You understand distributed data systems, including: Orchestration Idempotency Backfills Retries Observability Lineage Failure recovery You have experience with one or more of: Large-scale external data Crawling Information retrieval Entity resolution Knowledge graphs Document processing You’re excited about using LLMs and modern ML as components of data infrastructure. You care deeply about data quality, correctness, and reliability. You have strong product judgment and can reason about what data is actually worth acquiring, not just how to acquire it. You thrive in ambiguity and would rather create the architecture than be handed one. We’re particularly interested in backgrounds spanning: Alternative data Quantitative research infrastructure Search and crawling AI data infrastructure Knowledge graphs Large-scale document processing Data aggregation None of these are requirements. Our Engineering Stack Backend: Python, Go, PostgreSQL Infrastructure: Redis, Docker, Kubernetes Frontend: React, TypeScript AI / ML: LLMs, agents, proprietary models, and emerging frontier-model research Our stack will evolve. At Staff level, you’ll help decide how. Why NationGraph Own a foundational problem A large part of this architecture still needs to be invented. You’ll have significant ownership over how NationGraph discovers, acquires, represents, and serves public-sector information. Work on a genuinely hard data problem There is no single API for American government. There are tens of thousands of institutions, millions of sources, inconsistent schemas, and enormous amounts of information buried in systems never designed for machines. Build a real data moat We believe a major long-term advantage in applied AI will come from proprietary context and data. Government contains enormous amounts of valuable information that is technically public but practically inaccessible. Your job is to change that. Work with exceptional people You’ll work closely with the CEO, CTO, and a small engineering and research team. The team has backgrounds spanning high-scale infrastructure, quantitative finance, AI, and startups. Have real ownership We move quickly. We operate with very little bureaucracy. Engineers have significant ownership over technical decisions and product outcomes. If the idea of building the data infrastructure to map and understand how government works sounds exciting, we’d love to talk.

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More about this job

Responsibilities

Own the end-to-end external data platform to discover, acquire, and normalize fragmented government information. Design the technical architecture and use AI/ML to build a proprietary data moat and knowledge graph.

Requirements

Requires a highly experienced engineer proficient in Python, Go, and SQL with a deep understanding of distributed data systems. Experience with large-scale external data, entity resolution, and the application of LLMs to data infrastructure is highly desired.

Skills

Python
Go
SQL
Distributed Systems
Data Modeling
Entity Resolution
Knowledge Graphs
LLMs
Information Retrieval
Data Engineering
PostgreSQL
Kubernetes
Docker
Redis
Crawling
Document Processing

Visa sponsorship

Not detected in the job text

Keywords

Data Platform
Distributed Systems
Information Retrieval
Data Modeling
LLMs
Applied ML
Entity Resolution
Knowledge Graphs
Python
Go
SQL
PostgreSQL
Redis
Docker
Kubernetes
React
TypeScript
Crawling
Data Pipeline
Orchestration
Idempotency
Observability
Lineage
Alternative Data
Quantitative Research Infrastructure
Public Sector Data
Data Aggregation
Document Processing
AI Infrastructure
Data Moat

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