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Added 6 mins ago
Principal CRM Developer
Condominium Authority of Ontario
Toronto, ON
Full-time
Reporting to the VP, Technology & Application Development, the Principal CRM Developer is the senior hands-on engineer for the technology that powers the CAO's digital services, the…
Added 21 mins ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 51 mins ago
Principal CRM Developer
Condominium Authority of Ontario
Toronto, ON
Full-time
Reporting to the VP, Technology & Application Development, the Principal CRM Developer is the senior hands-on engineer for the technology that powers the CAO's digital services, the…
Added 2 hours ago
Staff Software Developer
Intuit
Toronto, ON
Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 2 hours ago
Staff Software Engineer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 4 hours ago
Staff Engineer - Backend & Architecture
MapsPeople
Toronto, ON
Full-time
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Added 5 hours ago
Senior Azure Cloud Platform Engineer
Agility IT
Toronto, ON
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Our consulting client is seeking an experienced Senior Azure Cloud Platform Engineer to design, deploy, and support enterprise-grade Azure data and analytics platforms, including Power BI.
Added 10 hours ago
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
Full-time · Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 13 hours ago
Delivery Lead
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Vancouver, BC
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You are a senior, AI-native delivery lead who owns engagement outcomes end to end: shaping the solution, defining and planning the work, leading the client, and making sure what we build is…
Added 13 hours ago
Senior Programmer Analyst (24 Month Contract)
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Vancouver, BC · BC
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The role provides senior-level application development expertise while supporting the organization's transition from legacy platforms, such as those built on .NET and Progress OpenEdge, to…
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Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
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Pointe-Claire, QC
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Added 13 hours ago
Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
Amazon Web Services (AWS)
Pointe-Claire, QC
Full-time
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 14 hours ago
Senior Data Engineer
Quandri
Vancouver, BC
Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
Added 14 hours ago
Senior Data Engineer
Quandri
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
Added 15 hours ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…
Added 15 hours ago
Senior Product Manager - Developer Productivity
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Toronto, ON
We are looking for a Senior Product Manager to own developer productivity as a product across Okta's development lifecycle - AI-native and traditional tooling alike. You will start…
Added 16 hours ago
Senior Workday Functional Specialist
Fanshawe College
London, ON
Full-time
The Senior Functional Specialist leans on their deep Workday expertise and is responsible for analyzing business requirements, configuring and testing system solutions, supporting Workday…
Added 16 hours ago
Infrastructure & Security Engineer
Purelend Technologies Inc.
Calgary, AB
Full-time
We're hiring a senior or staff-level engineer to drive infrastructure and security as a single, coupled discipline, working closely with the CTO. Together you'll shape how we run our…
Added 16 hours ago
Python Developer
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Contract
…platforms. The successful candidate will work closely with senior engineers, architects, and business partners to deliver scalable and secure applications while adhering to established…
Added 16 hours ago
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Senior Workday Functional Specialist
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Added 16 hours ago
Senior Cloud Azure Architect
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Toronto, ON
Contract
We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added 16 hours ago
Senior Security Engineer
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Montreal, QC
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Design, implement, and maintain security controls across network, cloud, server, endpoint, and application environments.
Added 16 hours ago
OT Senior Systems Engineer
CBRE
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Full-time
As a CBRE OT Senior Systems Engineer, you will manage infrastructure resources by monitoring system platforms and information technology operations. This job is part of the System…
Added 16 hours ago
Senior Manager, I&IT Site Reliability Engineering & Operations
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Toronto, ON
Full-time
Govern Cloud & Infrastructure Reliability: Define production readiness criteria and operational acceptance guardrails for new or materially changed services, ensuring architecture,…

Quandri

Senior Data Engineer

Vancouver, BC, Canada
Greater Vancouver Metropolitan Area, Canada

Job type: Full-time
Apply by: Mar 30, 2027
Experience: At least 4 to 6 years of professional data engineering experience.
Posting language: English
Posted: Oct 1, 2026

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Original job description

Who we are

Our mission at Quandri is to transform insurance into a trusted and delightful experience using AI. We are building the AI operating system for North America’s best insurance agencies and brokerages.

For the first time ever, we have the technology to fundamentally change how insurance operates, and the stakes are human. Better insurance means families protected from harm, businesses able to take risks, and communities more resilient when the worst happens. For insurance practitioners, the ability to deliver this level of service finally becomes possible.

What we do

Quandri brings deeply specific, vertically-focused AI to the industry’s most critical stakeholders:insurance agencies and brokerages.

Agents are the lifeblood of the industry, the place where most property and casualty insurance is sold and serviced. Yet operating an agency is harder than ever. Peak product complexity, accelerating consolidation, a deepening talent crisis, and the AI revolution are all reshaping how agencies work.

Quandri sits at the cutting edge of this shift, rebuilding how agencies operate one workflow at a time. We pair a deep understanding of insurance processes, systems, and data with serious technical capability and proprietary models, so the transformation is tangible and operational rather than aspirational.

We’re making insurance better for policyholders, while helping insurance brokerages deliver a better client service, grow faster, and harness AI so that they control the future of insurance distribution.

Why join us?

You'll join a fast-moving team with real ownership, direct access to leadership, and a genuine hand in shaping the company's next chapter.

We are headquartered in beautiful Vancouver, BC, backed by leading US and Canadian investors, and the recognition has followed:

LinkedIn’s Top Canadian Startups in 2024 & 2025
Deloitte’s Fast 50
CB Insights’ Insurtech 50 and Fintech 100
The Globe and Mail’s Top Growing Companies in Canada.

What you’ll do:

Own the Databricks data lake end to end, dbt models, medallion layers, incremental and backfill strategy, partitioning, freshness, quality monitoring.
Stand up CDC and streaming ingestion from HubSpot, Langfuse, Postgres, and DynamoDB into the data lake, with idempotency and dedup handled.
Own data services, schema and migration strategy, versioned APIs, provenance and audit trails, the tests and observability behind them.
Build AI data infrastructure, embedding pipelines, vector stores, retrieval knowledge bases, feature stores, LLM observability.
Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
Maintain data management and security policies.
Work with software/AI/ML engineers, data scientists, product, and business units to align on requirements, communicate technical concepts clearly to non-technical stakeholders.
Guide and mentor engineers in data best practices.

The right person for this role will have:

At least 4 to 6 years of professional data engineering experience.
Demonstrated experience with owning the maintenance and implementation of databases, data pipelines and backends with a focus on efficient data management and integration of system components.
Proficiency in Python (Preferred) and SQL.
Experience designing multi-tenant data systems with hard isolation requirements, and handling PII or other regulated data.
Proficiency in data modeling, medallion architecture, star schema, or Snowflake schema.
Hands on experience with cloud platforms like AWS, Azure, or GCP.
Experience with tools like, dbt, Databricks Workflows, Apache Airflow, Perfect, Dagster or equivalent, change-data-capture tooling, or AWS Step Functions for managing and automating data pipelines.
Proficiency in data visualization tools such as Databricks SQL dashboards or Tableau / Power BI equivalent.
Experience building or supporting AI products
Proficiency in data governance

Bonus points if you have:

Bachelor's or Master’s degree, preferably in Computer Science, Data Engineering, Computer Engineering, or related technical discipline; or equivalent experience.
Experience in communicating with senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Experience with building and hydrating vector databases like Pinecone, or AWS Bedrock Knowledge Bases

Our guiding principles:

Customers at the core. We put the customer at the center of all we do. At a basic level, we believe business success comes down to talking to customers and building something they want. We don’t listen to customers and just take what they say blindly, but we think critically about it and build what they need. Customers are the core of everything we do, and our business exists to serve them. We prioritize their needs over all else within the company.
Move with urgency. There are times when we need to move slowly and deliberately, but we default to acting fast and with urgency. We slow down when necessary, but this should be a deliberate choice. Businesses become more lethargic as they grow, this principle is designed to fight this fact.
Be curious. We understand the world by being curious and asking why. We aren’t satisfied with surface level understanding, and seek a deeper understanding of why things are the way they are. Don’t take someone’s word for it or the answer “because that’s how we do it.” Understand why and dig deep.
Excellence in execution. We know that what separates good from great is a high level of execution. We commit ourselves to excellence in everything that we do, from delivering an amazing product to writing a great email.
Act like an owner. We’re all owners of the business and act like it. We follow through on commitments, own our results and think long-term.
Fight for simplicity. The law of increasing functional information states that systems evolve to become more complex over time. At Quandri, we believe there is sophistication in simplicity; as such, we intentionally fight for streamlined solutions and are committed to the uncomplicated.
AI-first. We believe AI is a fundamental shift in how work gets done, not just a tool we occasionally reach for. At Quandri, we lead with AI, in how we build our product, how we run our operations, and how we think about every process and workflow. This isn't about replacing people; it's about unlocking them to do higher-value work.

Compensation and Benefits:

The range for base pay is $140k - $170k which is dependent on level of experience
Employee stock options, granted based off experience level upon hire and subject to a standard vesting schedule
Employee stock options based on experience level
Comprehensive health benefits, including $500 Lifestyle Spending Account
Four weeks of paid vacation per year
Work anywhere in the world for 60 calendar days of the year
Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)

Quandri is dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, Quandri adheres to Canadian labour laws and does not engage in discrimination based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other status protected under Canadian law.

Don’t let imposter syndrome stop you from applying. Great people sometimes don’t have the “right” experience. If you think that you’ll be amazing at this role then we encourage you to apply.

At Quandri, we build technology that automates the repetitive so people can focus on what actually matters - and we apply that same philosophy internally. In our hiring process, that means using AI to handle the administrative and logistical work so our interviewers can show up more fully in every conversation with you. AI tools support parts of our process, such as analyzing resumes and taking notes during interviews. But AI is never the decision maker. Every hiring decision is made by real people who are invested in getting it right - for you and for Quandri. If you have questions about how your information is handled or how we use AI, don't hesitate to reach out.

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More about this job

Responsibilities

Own and operate the Databricks data lake, data models, ingestion pipelines, data services, and related testing, monitoring, security, and governance. Build infrastructure for AI products, optimize databases and analytics, and collaborate with cross-functional teams while mentoring engineers in data best practices.

Requirements

Candidates should have 4–6 years of data engineering experience, strong Python and SQL skills, and experience building and maintaining databases, pipelines, and backends. They should also have expertise in data modeling, cloud platforms, multi-tenant systems and regulated data, pipeline orchestration, data visualization, AI products, and data governance.

Skills

Python
SQL
Data Engineering
Databricks
Dbt
Data Modeling
Medallion Architecture
Change Data Capture
Streaming Ingestion
Cloud Databases
Data Governance
Data Visualization
AI Data Infrastructure
Vector Databases
Data Security
Mentoring

Benefits

Employee Stock Options
Comprehensive Health Benefits
Lifestyle Spending Account
Four Weeks of Paid Vacation
Work Anywhere in the World for 60 Calendar Days per Year
Parental Leave Top-Ups

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Databricks
Dbt
Databricks Workflows
Apache Airflow
Dagster
AWS Step Functions
Change Data Capture
PostgreSQL
DynamoDB
HubSpot
Langfuse
Data Lake
Medallion Architecture
Star Schema
Snowflake Schema
Data Pipelines
Streaming Ingestion
Multi-Tenant Systems
PII
Data Governance
Data Security
Vector Databases
Embedding Pipelines
Feature Stores
LLM Observability
AWS Bedrock
Tableau
Power BI

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