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Added 2 hours 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 5 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 2 days ago
Software Engineer
Actalent
Ottawa, ON
Contract
This Software Engineer role focuses on architecting, designing, and integrating advanced AI/ML capabilities into mission-critical defense software systems within a tactical IT environment.…
Added 18 days ago
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
$241,000 to $320,000 USD / year
Full-time
Added 1 month ago
Senior Appian Developer
The Hospital for Sick Children
Toronto, ON
Full-time
The position sits within a team that includes full-stack developers, a DevOps engineer, a Business Analyst, a Product Owner, and alongside an App Support team with foundational technical…
Added 3 days ago
Senior Staff Software Engineer, Stripe Dashboard
Stripe
Toronto, ON
Full-time
As a Senior Staff Engineer on the Merchant Experience team, you'll be a technical leader across 50+ Engineers responsible for shaping the next generation of how Stripe merchants interact…
Added 7 days ago
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Added 4 days ago
Staff AI Engineer
Safe Software
Remote, Canada
$147,000 to $167,000 CAD / year
Full-time · Remote
Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.
Added 4 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
$168,000 to $231,000 CAD / year
Full-time
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 4 days ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…
Added 5 days ago
Senior Staff Software Engineer, Data
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Software Engineer, Data based in Canada .
Added 6 days ago
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
AI & ML Intern - Electrical Engineer (Winter 2027)
Added 5 days ago
Staff Backend Engineer, Customer Value Optimization
HelloFresh
Toronto, ON
We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection…
Added 6 days ago
Automation Engineer 4- #26-23046
US Tech Solutions
Markham, ON
$65 to $70 USD / hour
Contract
We are looking for a dynamic, energetic experienced Systems Design Engineer to join our growing team. As a key contributor to the success of Client’s product, you will be part of a leading…
Added 7 days ago
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
Full-time
Role SummaryProject X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing…
Added 7 days ago
Co-op or Intern, DevOps Engineer (January 2027)
BDO
Toronto, ON · Oakville, ON · Halifax, NS
Full-time
BDO Digital is looking for a Co-op or Intern, DevOps Engineer to join the AppDev team from January - April 2027. This is a net new role and responsibilities will include:
Added 7 days ago
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Added 6 days ago
Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Bevertec
Toronto, ON
Contract
Job Role: Staff/Principal Software Engineer (Strong AI/ML and Java exp)
Added 12 days ago
Director of Engineering – Toronto Development Center
Mercury Insurance
Toronto, ON · Greater Toronto Area, Canada
Contract
Hire, develop, and retain top engineering and quality talent in Toronto, including managers and technical leaders (e.g., Staff/Principal Engineers, DevOps, SRE, Staff QE).
Added 12 days ago
Staff Software Engineer
kadence
Toronto, ON
Full-time
They’re looking for a Staff Software Engineer, AI to provide hands-on technical leadership across the design, development, and scaling of enterprise-grade AI systems. This is a senior…
Added 1 month ago
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$210,000 to $240,000 CAD / year
Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 16 days ago
Staff Software Engineer
Greybridge Search & Selection
Toronto, ON
$140,000 to $175,000 CAD / year
Full-time
Staff Software Engineer - Agentic AI - Toronto $140,000 - $175,000 + 15% bonus (3 x days per week)
Added 5 months ago
Staff AI Platform Engineer - Inference & Agentic Systems
Paytm
Toronto, ON
Full-time
As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will
Added 12 days ago
Staff AI Architect/Engineer
RBC
Toronto, ON
Full-time
This is a tremendous opportunity to reinvent architecture in the AI Age. As a Staff AI Architect/Engineer, you will operate at the intersection of hands-on AI building and enterprise…
Added 17 days ago
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
Full-time
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.

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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