Find work in Canada.

549,996 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
FC
Technical Analyst Sr
Fidelity Canada
Toronto, ON
- Full-time
Build Python and SQL-based automation, integrations and data-processing components.
Added 1 month ago
Fullstack Developer (Python) - Onboarding Team
AlayaCare
Montreal, QC
We are seeking a Fullstack Developer (Python) reporting to our Associate Director of Engineering to join one of our Product team. The candidate will be focusing on building high quality and…
Added 1 month ago
EB
Senior Manager, Model Development
EQ Bank
Toronto, ON
- Full-time
Advanced programming skills in Python and SQL.
Added 1 month ago
CB
Cloud Ops Administrator (Canada) - N.A. Service Delivery Group
Canadian Bank Note Company, Limited
Ottawa, ON
- $65,000 to $81,000 CAD / year
- Full-time
Canadian Bank Note Company (CBN) is a leader and trusted provider of secure document and adjacent enterprise-level system solutions across the following domains: border security, civil…
Added 1 month ago
EB
Manager, Risk Data & Model Implementation
EQ Bank
Toronto, ON
- Full-time
Advanced database and programming skills in object-oriented programming languages (e.g., SQL, Python Programing) and familiarity with Python Flask/FastAPI, Azure Cloud Services are required.
Added 1 month ago
ST
Analyst, Risk Analytics & Performance
SS&C Technologies
Toronto, ON · Montreal, QC
- Full-time
Basic scripting, Python, SQL, or automation experience is an asset, but not required
Added 1 month ago
A
Azure DevOps Consultant
Alithya
ON · ON, Canada
- Full-time
Support Azure services including App Services, Function Apps, Azure SQL, API Management, Data Factory, Databricks, Cosmos DB, Key Vault, and Storage Accounts;
Added 2 months ago
A
Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
Build and maintain data pipelines using Python, SQL, dbt, and Databricks.
Added 1 month ago
Senior AI/ML Engineer
Katalyst Data Management
Calgary, AB
Strong programming skills in Python preferred and/or Node.js, including writing clean, testable code and reviewing others’ code.
Added 1 month ago
FS
Software Engineer
Fleet Space Technologies
Toronto, ON
- Full-time
Tech stack: Python, Go, TypeScript/JavaScript, SQL, AWS, Docker, GitLab and CI/CD, with 2D and 3D visualisation libraries such as Three.js, WebGL, deck.gl or Plotly.
Added 1 month ago
H(
Senior Manager, Total Fund Data Science and Modeling
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- Full-time
our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic…
Added 1 month ago
C
Développeur .NET - Support
CGI
Montreal, QC
- Full-time
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
Added 1 month ago
Senior Software Developer
Bell
Montreal, QC
We are looking for a Senior Backend-focused Developer to join the team, the strategic network orchestration and automation engine for Bell Business Markets (Network as Code approach). Your…
Added 1 month ago
BG
Supply Chain Automation Intern
Bosch Group
Welland, ON
- $19 to $23 CAD / hour
- Full-time
Strong interest in business process automation (e.g., RPA, Power Automate, VBA/Macros, Python, or SQL)
Added 1 month ago
Assistant Manager, Data Quality & Analytics
IATA
Montreal, QC
SQL and Python for data analysis, data profiling, validation,
Added 1 month ago
GS
Platform Support Database Administrator III
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
…environments on AWS, ensuring they are performant, secure, and highly available. You’ll use your expertise in Oracle RDS, Aurora PostgreSQL, and Microsoft SQL Server to troubleshoot complex…
Added 1 month ago
WC
Senior Specialist, Item File
Walmart Canada
Mississauga, ON
- Full-time
Position Summary...The SR Specialist Item File is responsible for ensuring the accuracy, integrity, and governance of master data records across retail systems. This role supports item data…
Added 1 month ago
TA
Manager / Sr Manager, Analytics Consulting - Retail/CPG
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Hands-on experience with SQL, BI/visualization tools and/or Python, along with strong analytical aptitude.
Added 1 month ago
K
Model Risk Management Specialist
Kraken
Remote, Canada
- Full-time
- Remote
Proficiency in programming languages (e.g., Python, R, SQL).
Added 1 month ago
Senior Data Analyst
Konrad
Toronto, ON
Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
Added 1 month ago
PI
Staff Data Engineer
PENN Interactive
Canada
- Full-time
Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms.
Added 2 months ago
R
Full Stack Developer, AI
RBC
Toronto, ON
- Full-time
5+ years of software development experience with languages such as Java, Python and JavaScript, with a strong foundation in SQL and a willingness to contribute across a diverse tech stack…
Added 2 months ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
…the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the central repository of finance related datasets, with capabilities including the ingestion of…
Added 1 month ago
V
Senior Software Developer - Workflows
Verily
Toronto, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
Added 2 months ago
B
Senior Business System Analyst
BMO
Toronto, ON · SCC
- Full-time
5+ years of experience in one or more of SQL, NoSQL, Python, Scala

PENN Interactive

Staff Data Engineer

Canada

$160,000 - $205,000 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $160,000 - $205,000 CAD
Job type: Full-time
Experience: 8+ years of experience in data engineering, analytics engineering, or a related discipline.
Posting language: English
Posted: Sep 2, 2026

Original job description

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.

We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through Hollywood Casino, theScore Bet Sportsbook, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.

When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.

About The Role & Team 

As a Staff Data Engineer, you'll partner closely with Data Services, Analytics Engineering, Product, and Business stakeholders to design and deliver scalable, reliable, and high-quality data solutions. You will play a key technical leadership role, helping shape the architecture, standards, and future direction of our data platform. The ideal candidate combines deep technical expertise with strong communication skills, a passion for data, and an interest in sports, gaming, and digital products.

About The Work

As a key member of our team, you will:

Collaborate with business stakeholders to identify and prioritize data-driven opportunities and initiatives.
Design, build, and maintain scalable data pipelines supporting analytics, reporting, product, and operational use cases.
Develop, test, and optimize dbt models following data modeling best practices.
Manage and support orchestration platforms including Airflow and exposure to Dagster.
Design and implement dimensional, semantic, and analytical data models to support self-service analytics and business intelligence.
Drive data architecture decisions and establish engineering standards and best practices across the organization.
Partner with data engineers and platform teams to improve the reliability, scalability, and performance of our data ecosystem.
Develop and maintain data quality frameworks, testing strategies, and observability solutions to ensure trusted data assets.
Support governance initiatives through documentation, metadata management, lineage, and data ownership practices.
Complete complex analyses and provide actionable recommendations to business stakeholders.
Oversee team analysis to ensure data accuracy, consistency, and business relevance.
Champion adoption of data exploration and self-service analytics tools across the organization.
Lead technical design reviews and provide mentorship through code reviews, architectural guidance, and knowledge sharing.
Support data engineer hiring, onboarding, mentoring, and continued professional development.
Participate in incident response, root cause analysis, and continuous improvement initiatives for critical data platform issues.
Other duties as required.

About The You

Bachelor's degree in Computer Science, Data Engineering, Statistics, Information Systems, Business, or a related field.
8+ years of experience in data engineering, analytics engineering, or a related discipline.
Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms.
Strong understanding of data warehousing concepts, ETL/ELT design patterns, and dimensional modeling.
Experience building and optimizing scalable data transformation pipelines in cloud environments.
Experience working with Google Cloud Platform services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
Exposure to Azure data platforms and services is a plus.
Proficiency with Git-based development workflows, CI/CD pipelines, and software engineering best practices.
Experience implementing automated testing, monitoring, and data observability solutions.
Experience with data visualization and exploration tools such as Looker, Mode,Tableau, or similar platforms.
Excellent communication and stakeholder management skills, with the ability to translate business requirements into scalable technical solutions.
Proven ability to lead complex projects and influence technical direction across multiple teams.

What We Offer

Competitive compensation package 
Fun, relaxed work environment 
Education and conference reimbursements. 
Opportunities for career progression and mentoring others

Salary Range

$160,000 - $205,000 CAD

Penn Interactive is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.Base pay is one part of the Total Rewards that Penn Interactive provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Penn Interactive provides best-in-class benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.

Apply About employer

More about this job

Responsibilities

Design and deliver scalable data pipelines and high-quality data solutions while providing technical leadership for the data platform. Collaborate with stakeholders to implement data architecture standards, quality frameworks, and self-service analytics tools.

Requirements

Requires a Bachelor's degree and over 8 years of experience in data or analytics engineering. Must have hands-on expertise with BigQuery, dbt, Airflow, Python, and SQL within cloud environments.

Skills

BigQuery
dbt
Airflow
Python
SQL
Google Cloud Platform
Data Modeling
ETL/ELT
Dimensional Modeling
CI/CD
Git
Data Observability
Looker
Stakeholder Management
Technical Leadership
Data Architecture

Benefits

Education Reimbursements
Conference Reimbursements
Career Progression Opportunities
Mentoring

Visa sponsorship

Not detected in the job text

Keywords

BigQuery
dbt
Airflow
Python
SQL
Google Cloud Platform
GCP
Azure
Cloud Storage
Pub/Sub
Cloud Composer
ETL
ELT
Dimensional Modeling
Semantic Modeling
Data Warehousing
CI/CD
Git
Looker
Mode
Tableau
Data Observability
Data Governance
Metadata Management
Data Lineage
Dagster
Analytics Engineering
Data Pipelines
Sports Betting
Casino Gaming

Report this job