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Added 2 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 2 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 USD / year
Full-time
…general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML…
Added 2 days ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 3 days ago
Software Engineer, Data Acquisition
Nascent
Remote, Canada
Full-time · Remote
…proficient in at least one major programming language (Go, Python, C++, Java, or similar) - the stack is primarily Rust, and prior Rust experience is a strong plus, but if you haven't…
Added 2 days ago
←
Quartz
Open Hall, NL
Full-time
We're looking for an AI Engineer to own Charlie, the personal banker at the heart of Quartz. Charlie is live with UK members today, answering questions about their pensions, ISAs, savings…
Added 2 days ago
Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon Science
Vancouver, BC
Full-time
…consistency to inform an architecture decision. Later, you pair with an engineer to add a new capability to an agent's tool registry, then validate it doesn't degrade downstream quality.…
Added 2 days ago
Lead Validation Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
Full-time
As an Lead Domain Validation Engineer in the Data Center and GPU Accelerated Processing Division, you will drive IP domain and power-management validation for AMD Data Center GPU products…
Added 2 days ago
Test Engineer - Data
The Citco Group Limited
Toronto, ON
Full-time
As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation.…
Added 3 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
We are hiring a Senior Integration Engineer to build and productize integrations between Agiloft and strategic ISV partners. This is a hands-on engineering role with regular partner…
Added 3 days ago
Data Engineer
Loopio Inc.
Remote, Canada
$103,500 to $140,000 CAD / year
Full-time · Remote
We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio…
Added 2 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
With rapid growth comes opportunity. We are looking for an Applied AI Engineer (LLM Applications Engineer) to join our team onsite in our Mississauga, Ontario Canada office! This is a…
Added 2 days ago
Agent & DevOps Platform Engineer
Epsilon Solutions Ltd.
Toronto, ON
Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
Added 2 days ago
AI engineer with Python
Futran Solutions
Mississauga, ON
Full-time
Strong Python development with FastAPI or Flask.
Added 2 days ago
AI Platform Engineer with DevOps
Apptoza Inc.
Halifax, NS
Contract
Role: AI Platform Engineer with DevOps Experience - DevOps, Docker (Software), GitHub, GitHub Actions, Information Technology (IT) Infrastructure, Kubernetes, Programming Languages, Red Hat…
Added 18 days ago
Senior / Staff Software Engineer, ML-based Controls
Waabi
Toronto, ON
$241,000 to $320,000 USD / year
Full-time
Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
Added 3 days ago
Senior Mechanical Engineer
Global Traffic Group
St. Albert, AB
Proficiency with relevant engineering and development tools, such as Python, C/C++, MATLAB, Simulink, Arduino or LabVIEW, and CAD software such as SolidWorks or CATIA.
Added 2 days ago
Machine Learning Engineer
Flair Airlines Ltd.
Toronto, ON · Vancouver, BC · Edmonton, AB · Calgary, AB
Full-time
Join the Digital - Engineering team at Flair as a Machine Learning Engineer, where you will play a key role in designing, building, deploying, and maintaining production machine learning…
Added 3 days ago
Senior Forward-Deployed AI Engineer
Bell
Toronto, ON
Mentor and pair with an early-career engineer on the engagement.
Added 2 days ago
Cyber Secruity Engineer
Lorex Technology
Markham, ON
$105,000 to $125,000 CAD / year
Full-time
Collaborate with software development, DevOps, and engineering teams to integrate security requirements and testing into the delivery pipeline
Added 2 days ago
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 3 days ago
Software Engineer, Simulation Scalability - Sim RIM (Release and Incident Management) Focus
General Motors
Markham, ON
Full-time
Our work spans systems architecture, software engineering, release management, and quality strategy, with a mission to increase reliability, throughput, and operational excellence across…
Added 3 days ago
Software Development Engineer Intern - Summer 2027 (CAN)
Amazon
Vancouver, BC
…you tackle new problems. There's no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and,…
Added 2 days ago
AI/ML Platform Engineer (Cloud Infrastructure)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
Programming experience with Python or Go for automation
Added 3 days ago
PySpark / Databricks Developer (Junior to Intermediate)
Electric Mind
Toronto, ON
Full-time · Contract
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks…
Added 2 days ago
QA Automation Engineer
UST
Toronto, ON
Full-time
With us, you’ll create a boundless impact that transforms your career - and the lives of people across the world.

Loopio Inc.

Data Engineer

Remote, Canada

Pay: $103,500 to $140,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 3+ years experience in a data engineering or a similar role
Posting language: English
Posted: Sep 18, 2026

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Original job description

Take your career to new heights with Loopio! 🚀✨

Loopio’s Data Engineering Team works together on a mission to transform the RFP response process into a rapid and seamless experience. Our team works across all platform portfolio features and delivers innovative solutions where it matters the most for our customers.

We are looking for an experienced Data Engineer to build and support the delivery of data pipelines, used for analytics both internally by Loopio’s teams, embedded within the Loopio platform for our customers. Our perfect candidate has deep technical skills and is comfortable working in an evolving technology infrastructure. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real world problems. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision making, analysis, and feature development.

You will partner closely with ML Engineers, Architects and Data Scientists, Product Managers, and other business stakeholders to help us take Loopio’s data value to the next level.

Note: This is an existing vacancy on the team

What You’ll Be Doing

Be responsible for building, evolving and scaling data platforms and ETL pipelines, with an eye towards growth of our business and reliability of our data
Promote data-driven decision making across the organization through data expertise
Build advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations
Integrate various data sources into our Datalake, including clickstream, relational, and unstructured data
Developing and maintaining a feature store for use in analytics & modeling
Partner with data scientists to create predictive models to help drive insights and decisions, both in Loopio’s product and internal teams (RevOps, Marketing, CX)
Work closely with stakeholders within and across teams to understand the data needs of the business and produce processes that enable a better product and support data-driven decision-making
Build scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies
Build and support Loopio’s data warehouse (Redshift) and data lake (Databricks deltalake)
Orchestrate pipelines using workflow frameworks / tooling

What You’ll Bring to the Team

Strong understanding of database concepts, modeling, SQL, query optimization

Ability to learn fast and translate data into actionable business results
Experience in either Python (preferrably), or other common programming language (Scala, Java) for data manipulation purposes
Hands-on experience with the AWS services (RDS, S3, Redshift, Glue, Quicksight, Athena, ECS)
Strong understanding of relational databases (RDS/Aurora) and NoSQL engines (Redis/DynamoDB/Neptune/etc).
Experience with ETL & Data warehousing, building Inmon/Kimball/Data Vault models
Experience with MPP frameworks such as Spark / Flink
Experience with CI/CD tools (Jenkins) and pipeline orchestration tools (Databricks Jobs, Airflow)
Experience working with data visualization and BI platforms (Quicksight, Tableau, Sisense, etc)
Experience working with Clickstream data (Amplitude, Pendo, etc)
Experience in a high growth agile software development environment
Experience building and supporting large-scale systems in a production environment
Strong communication, collaboration, and analytical skills
Demonstrated ability to work with a high degree of ambiguity, and leadership within a team (mentorship, ownership, innovation)
3+ years experience in a data engineering or a similar role
Ability to clearly communicate technical roadmap, challenges, and mitigation

Bonus Qualifications

Experience with container orchestration (leveraging tools like Docker, ECS, Kubernetes)
Experience working with BI PaaS / SaaS solutions
Experience with Natural Language Processing techniques
Experience in AI-augmented SDLC
Experience with graph-like data and corresponding data engines (Neo4J, Neptune, GraphFrames)

Where You’ll Work 📍

Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world from which we hire.
Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇬🇧 London, and 🇮🇳 India (specifically in Gujarat, Maharashtra, and Bengaluru).

The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).
We offer flexible co-working locations available to Loopers in ON and BC. Those based in ON have the option of working out of our convenient co-working space located in the heart of Downtown Toronto and a 12-minute walk from Union Station. BC Loopers have the option to work centrally in Vancouver. It is whatever works best for you!
You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday
We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why You’ll ♥️ Working at Loopio

Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations
You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day 1️⃣ with Loopio.
We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.

You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and company celebrations to celebrate the big wins and milestones as #oneteam!

Our four Employee Resource Groups offer opportunities for employees to learn and connect year-round.
You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.

Questioning your qualifications? Read this ‼️ Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description - particularly members of underrepresented groups.

Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.

AI in Recruitment 👩🏻‍💻 At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, transcription and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines

AI Usage in Interviews 🤖 The Loopio interview process is designed to help us better understand your professional experiences, as well as your unique perspective and approach to delivery and collaboration. To ensure a fair and accurate assessment, we expect candidates to refrain from using AI-generated content to produce responses to our interview questions during the live interview, as our goal is to evaluate your own knowledge and problem-solving abilities - not those of an AI assistant. If AI-generated responses are identified during the interview, Loopio reserves the right to disqualify candidates from the interview process.

For specific roles that include a take-home assignment, our AI Interviewee Policy allows the use of AI for initial support; however, the final submission must be a true reflection of your personal insights, skills and decision-making.

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ([email protected]) should you require accommodations at any point during our virtual interview processes.

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More about this job

Responsibilities

You will be responsible for building, evolving, and scaling data platforms and ETL pipelines to support analytics and product features. You will also collaborate with cross-functional teams to enable data-driven decision-making and maintain a feature store for modeling.

Requirements

Candidates should have 3+ years of experience in data engineering with strong proficiency in Python, SQL, and AWS cloud services. You must possess a solid understanding of database modeling, ETL processes, and experience working in high-growth agile environments.

Skills

Data engineering
Python
SQL
AWS
Databricks
Redshift
ETL pipelines
Data warehousing
Spark
Data modeling
NoSQL
CI/CD
Airflow
Data visualization
Predictive modeling
Communication

Benefits

Health and wellness benefits
MacBook laptop
Phone and internet subsidy
Work-from-home budget
Professional mastery allowance
Equity
Flexible co-working locations

Remote locations

Toronto, Ontario, Canada
Vancouver, British Columbia, Canada
London, United Kingdom
Gujarat, India
Maharashtra, India
Bengaluru, India

Remote locations (standardized)

Bengaluru, Karnataka, India
Gujarat, India
London, England, United Kingdom
Maharashtra, India
Toronto, Ontario, Canada
Vancouver, British Columbia, Canada

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
AWS
Databricks
Redshift
ETL
Data Lake
Spark
Flink
Airflow
Jenkins
CI/CD
NoSQL
Aurora
DynamoDB
Quicksight
Tableau
Amplitude
Agile
Predictive Modeling
Data Warehouse
Inmon
Kimball
Data Vault
Cloud Computing
Automation
Data Orchestration
Feature Store
Analytics

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