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Added 57 mins ago
Machine Learning Engineer, VLA & RL - Senior
cyberwave digital agency
Zurich, ON
Full-time
We're looking for a Machine Learning Engineer focused on vision-language-action (VLA) models, reinforcement learning, and cross-embodiment transfer. You'll work on models that turn…
Added 57 mins ago
Principal Data Engineer - Canada
JobGet
Remote, Canada
$160,000 to $190,000 CAD / year
Full-time · Remote
As our Principal Data Engineer, you will help lead the technical direction for how data flows, scales, and powers every decision at JobGet. You’ll own the data architecture behind our…
Added 3 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…
Added 3 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…
Added 3 hours ago
AI Engineer
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced AI Engineer with 7+ years of experience in software and AI engineering to design, develop, and deploy AI/ML solutions. The ideal candidate will have strong…
Added 4 hours ago
Staff AI Software Engineer
Qualcomm
Markham, ON
Full-time
…smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient…
Added 5 hours ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Generative AI Cloud Operations Engineer for clinical trial design, planning, and operational optimization on our team, you will lead the development and management of AI operations…
Added 8 hours ago
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Added 8 hours ago
AI Engineer (35578)
Myticas Consulting
Toronto, ON
Contract
Our client, a leading financial institution in Toronto, is seeking an AI Engineer to support a large enterprise AI transformation program. The successful candidates will design, build, and…
Added 15 hours ago
Founding DevOps/SRE Engineer
Requesty
London, ON
Full-time
Added 20 hours ago
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
Full-time
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 1 day ago
Lead Data/Analytics Engineer
Dutch
Vancouver, BC
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 1 day ago
Cryptographic Systems Engineer (Post-Quantum)
SuperQubit Inc.
Markham, ON
Full-time
Job Title: Cryptographic Systems Engineer (Post-Quantum)
Added 1 day ago
Senior Software Engineer- Telecom
Photon-IV
Canada
Full-time
The Senior Software Engineer – Telecom is a full-time, hybrid role based in Canada, with a mix of on-site collaboration and work-from-home flexibility. This role is responsible for leading…
Added 15 days ago
Applied Data Scientist, Health AI Evaluation & Datasets
Innodata Inc.
Canada
$210,000 to $240,000 USD / year
Full-time
You will work in a tight pod with a Technical Solutions Architect, Applied Research Scientist, AI/ML Research Engineer, and Language Data Scientists. Your role is to make sure the data,…
Added 12 days ago
AI Engineer
GEI Consultants, Inc.
Markham, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 5 days ago
Lead Software Engineer – Java/Spring, AWS & Solution Architecture
Element Fleet Management
Toronto, ON
Full-time
Added 3 days ago
Lead, Machine Learning Engineer, GFT
RBC
Toronto, ON
Full-time
Added 18 days ago
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
$240,000 to $285,000 USD / year
Full-time
Added 5 days ago
Senior Application Developer
BMO
Calgary, AB · GCS
As a Senior Software Engineer at BMO, you will be a hands‑on technical leader responsible for the design, development, and ownership of complex, enterprise‑grade applications and services.…
Added 2 days ago
Senior Cloud DevOps Engineer
Charger Logistics Inc
Brampton, ON
Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 2 days ago
Sr. Data Scientist
Charger Logistics Inc
Brampton, ON
Full-time
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.
Added 2 days ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 6 days ago
Senior Controller Integration Engineering
General Motors
Markham, ON · Oshawa, ON
Full-time
We are seeking a senior engineer to join our Autonomous Vehicle Integrity Platform (AVIP) organization in a role that combines software triage and data analysis with cross-functional…
Added 2 days ago
Specialist Software Cloud Developer
CPKC
Calgary, AB
Full-time
Becoming a qualified conductor or locomotive engineer is the single best way for a management employee to learn the business at CPKC. You may be required to obtain a certification or to…

JobGet

Principal Data Engineer - Canada

Remote, Canada

Pay: $160,000 to $190,000 CAD / year
Job type: Full-time
Workplace: Remote
Apply by: Nov 23, 2026
Experience: 10+ years of data engineering experience, with at least 3–5 years operating at a principal or staff IC level in a start-up environment.
Posting language: English
Posted: Aug 25, 2026

Apply About employer

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Original job description

About JobGet

As the #1 app focused on everyday workers, JobGet is redefining the future of hiring. Founded in 2019, JobGet began as the only mobile-first hiring platform for everyday workers. Since then, we’ve grown by joining forces with Snagajob, the largest hourly job board in the U.S., followed by Seasoned, the leading platform for restaurant hiring. Each acquisition has brought JobGet closer to the frontline, making the platform faster, smarter, and more effective.

While most platforms chase volume, JobGet is laying the foundation for a new kind of hiring infrastructure focused on precision, speed, and real outcomes. Our AI-powered engine learns, adapts, and improves continuously. Employers don’t just get candidates, they get hires. Workers don’t just search, they get matched. The result is a more efficient hiring process with less friction and better results.

We serve a diverse range of industries, from food service and customer support to healthcare, logistics, and manufacturing. With access to over 200 million job seekers, our platform leverages cutting-edge AI to match qualified, role-ready candidates, automating key parts of the hiring process for faster decisions and better outcomes. By combining scale with precision, we’re transforming how businesses hire and how people find meaningful work.

Our mission is simple: to help everyday workers thrive by providing accessible, frictionless hiring solutions that deliver real results. Join us as we continue to build the future of work for the millions of people who power our world every day.

Learn more about our culture here.

Who We Are

We’ve designed our values to be more than just buzzwords; they’re things we can do. We hope that our culture reflects our values by our commitment to living them every day.

Make a difference every day

Teamwork - We make time to help colleagues across JobGet succeed.
Excellence - We set ambitious targets, put in extraordinary effort, and persevere until we have accomplished - or exceeded - our goals.
Innovation - We’re a team of creative, outside-the-box thinkers who thrive in a continuously evolving environment. To us, innovation is about questioning the status quo and always striving to do things better.

Have Unwavering grit

Resilience - By remaining resilient and adaptable, we grow stronger as individuals and as an organization.
Accountability - We operate with an ownership mentality where everyone feels a sense of responsibility to make us better and always act in the best interest of JobGet.
Speed - We make decisions fast and execute them even faster. Bias for speed is one of our core strengths and a key advantage over our competitors.

Grow through curiosity & kindness

Respect - We treat each other with mutual respect, kindness, and celebrate our differences.
Learning - We ask questions and seek to understand by being genuinely curious & communicative.
Culture - We believe that each of us is responsible for our culture. It requires self-discipline and the drive to contribute to something greater than ourselves.

What You’ll Do

As our Principal Data Engineer, you will help lead the technical direction for how data flows, scales, and powers every decision at JobGet. You’ll own the data architecture behind our platform that connects hundreds of millions of job seekers with employers across dozens of industries; and you’ll do it at the intersection of high-throughput pipelines, real-time matching signals, and AI-driven product experiences.

Data Platform Architecture & Strategy

Drive Architectural Decisions: Lead design reviews for critical platform components, evaluating trade-offs across scalability, cost, reliability, and time-to-insight.
Champion Modern Data Stack Adoption: Evaluate and introduce best-in-class tooling (Databricks, Snowflake, dbt, Kafka, etc.) aligned with engineering principles and business needs.
Ensure Platform Reliability: Own the observability, alerting, and operational readiness standards for tier-1 pipelines, including runbooks, failover strategies, and reprocessing protocols.
Autonomy & Decision Making: Demonstrate high resourcefulness; you are empowered to make significant technical decisions and drive projects end-to-end with limited oversight.

Data Modeling & Pipeline Engineering

Build Production-Grade Pipelines: Design and implement robust batch data pipelines using Snowflake and dbt as the core of JobGet’s transformation layer, ingesting and serving data across product telemetry, marketplace signals, employer activity, and candidate behavior.
Lead Data Modeling Decisions: Establish data modeling standards (schema design, dimensional modeling, and data contracts) that serve analytics, ML feature engineering, and product instrumentation.
Solve the Hardest Problems: Personally take on the most complex data integration, performance, and reliability challenges that require principal-level judgment and hands-on implementation.
Support Real-Time & Near-Real-Time Needs: Architect and evolve streaming data infrastructure using technologies such as KSQL and Apache Flink to power real-time matching, recommendation, and product decisioning systems.

AI & Analytics Enablement

Enable Machine Learning at Scale: Partner closely with Platform Engineers and Data Analysts to design feature stores, training data pipelines, and inference-ready datasets that power JobGet’s AI matching engine.
Accelerate Analytics Delivery: Work with Data Analytics stakeholders to ensure data products are well-modeled, documented, and performant for self-serve consumption. Evaluate and integrate emerging AI-powered tools to enhance operational efficiency and developer productivity.

Data Governance, Quality & Security

Establish Data Governance Standards: Define and enforce policies for data quality, lineage, access control, and cataloging that scale across a growing and multi-product organization.
Protect Data Integrity: Implement data validation frameworks, SLA monitoring, and anomaly detection to maintain trustworthy data across all consumers.
Ensure Compliance & Privacy: Design data systems with privacy-by-default principles, ensuring alignment with applicable regulations (CCPA, GDPR, etc.) across candidate and employer data.

Hands-On Execution & Technical Excellence

Raise the Technical Bar: Mentor and level up engineers across the data team through code reviews and design guidance.
Partner Across Engineering & Product: Collaborate with Software Engineering, Product, and Analytics to ensure data requirements are deeply understood at inception.
Influence Without Authority: Drive adoption of data platform standards and architectural patterns across teams through clear communication, documentation, and trust-building.
Proactive Problem Solving: Personally identify and execute fixes for deep-seated bottlenecks, architectural bugs, and performance issues that impact system stability.

Who You Are

10+ years of data engineering experience, with at least 3–5 years operating at a principal or staff IC level in a start-up environment.
Production-grade experience with Snowflake and dbt (required); you’ve designed, owned, and scaled these in a real product environment, not just used them.
Experience with real-time streaming technologies such as KSQL or Apache Flink is strongly preferred; you’ve built or operated streaming pipelines in production.
Hands-on AWS experience at scale, including cloud data architecture, cost governance, and infrastructure-as-code; Terraform experience is a nice-to-have.
DataOps experience: familiarity with CI/CD for data pipelines, automated testing frameworks, and deployment practices that treat data infrastructure like production software.
Significant, demonstrated AI usage in your day-to-day engineering work is required. You actively use AI tools (e.g. Claude, Copilot, Cursor, or similar) to move faster, reason through architecture, generate and review code, and solve novel problems. This isn’t a nice-to-have; it’s how we expect principal-level engineers to operate.
Expert-level proficiency in Python and SQL, with strong command of distributed systems, data pipeline design, and performance optimization.
Strong data modeling background: dimensional modeling, schema design, data contracts, and the ability to build structures that outlast the team member who built them.
Experience building data infrastructure that directly supports ML/AI systems, including feature pipelines, training data management, and inference-layer data serving.
Demonstrated track record of setting technical standards across teams, not just within your own scope: through RFCs, architecture reviews, or platform migrations.
Strong grasp of data governance fundamentals (data lineage, cataloging, access control, and quality monitoring) with practical experience implementing them in production.
Familiarity with real-time and near-real-time data architectures (streaming, event-driven design, CDC), especially in marketplace or two-sided platform contexts.
Exceptional communication and stakeholder management skills; you can translate complex data infrastructure trade-offs into plain language for product and business audiences.
You have a builder’s mentality and an operator’s discipline. You move fast, ship with confidence, and hold yourself to a high bar even when no one is watching.

At JobGet, we’re looking for people who see themselves in our Values. If you have made a measurable impact in your career and are known for your grit and curiosity, we encourage you to apply.

Please only apply to one position with JobGet; we regularly cross-reference submitted resumes for other open roles. We look forward to hearing from you. We look forward to hearing from you.

Benefits & Rewards

Purpose-driven organization
Flexible time off
Remote-first
Flexible work hours - our employees are in multiple time zones
Medical & dental plans
Parental leave
Employee stock options

Applications identified as AI-generated will be auto-rejected.

Apply About employer

More about this job

Responsibilities

You will lead the technical direction for data architecture, scaling high-throughput pipelines and real-time matching systems. You will also partner with engineering and product teams to enable machine learning at scale while establishing robust data governance and quality standards.

Requirements

Candidates must have 10+ years of data engineering experience with at least 3-5 years at a principal or staff level. Expert-level proficiency in Python, SQL, Snowflake, and dbt is required, along with demonstrated experience in AI-driven engineering workflows.

Skills

Data Engineering
Snowflake
Dbt
Python
SQL
AWS
Data Modeling
Streaming Data
KSQL
Apache Flink
Data Governance
Machine Learning
Distributed Systems
DataOps
CI/CD
Architecture Design

Benefits

Flexible time off
Remote-first
Flexible work hours
Medical plans
Dental plans
Parental leave
Employee stock options

Remote locations

Vancouver, British Columbia, Canada

Remote locations (standardized)

Vancouver, British Columbia, Canada

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Dbt
Python
SQL
AWS
KSQL
Apache Flink
DataOps
CI/CD
Machine Learning
Data Modeling
Data Governance
Terraform
Distributed Systems
Streaming
Event-driven design
CDC
Marketplace
AI
Architecture
Data Pipeline
Feature Stores
Data Lineage
Observability
Scalability
Reliability
Data Contracts
Schema Design
Cloud Data Architecture

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