Penn Interactive

Staff Data Engineer

✓ Source checked 22m agoDataLead
Location
Remote, Canada
Job Type
Not provided by employer
Experience
Lead
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RemoteOrNothing Role Intelligence

A structured reading of this employer listing. RemoteOrNothing only surfaces facts or exact signals present in the stored source; missing details stay missing.

Company
Penn Interactive
Role category
Data
RemoteOrNothing classification
Employment type
Not specified
RemoteOrNothing classification
Seniority
Lead
RemoteOrNothing classification
Remote eligibility
Remote, Canada
Source location: Remote, Canada
Compensation
Not captured in our structured salary fields; check the employer description/source for any location-specific range.
Only structured salary fields are shown here
Added to RemoteOrNothing
Sep 02, 2026
Last updated
Oct 07, 2026

Technical stack explicitly mentioned

AzureBigQuerydbtAirflowPython

Engineering / delivery practices mentioned

CI/CDobservabilityincident response

Experience requirements found in the listing

  • 8+ years of experience in data engineering, analytics engineering, or a related discipline..

Education / credential terms mentioned

Bachelor'sdegree

Remote-work details from the source

  • Employer location text: Remote, Canada
Direct application source: job-boards.greenhouse.io
How this was built: deterministic extraction from this job's stored fields and employer-provided listing text. No AI rewriting and no guessed salary, skills, experience, location or sponsorship terms.

RemoteOrNothing Market Context

First-party snapshot calculated from RemoteOrNothing's current published job dataset — not copied from the employer listing.

Comparable active roles
9
Other Data roles across 5 companies; this job is excluded
Lead share
4 of 9 (44%)
Roles in this comparison set classified as Lead
Salary disclosure
0 of 9 (0%)
Comparable roles with a complete structured annual salary range
Company footprint
26 active roles
Current published RemoteOrNothing roles at Penn Interactive

Methodology: this role is excluded from comparison counts. We use the same category + remote eligibility when at least 5 other roles exist, otherwise category-only, then sitewide. Salary medians appear only with at least 5 complete ranges in the same currency. No missing salary is estimated.

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 

    #LI-REMOTE

#LI-Remote

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.