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PENN Interactive

Senior Data Engineer

PENN Interactive is seeking a Senior Data Engineer to join the digital team at PENN Entertainment, Inc., North America's provider of sports content, casino gaming, and…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Not specified
Salary
CAD 130,000 - 175,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz1h agoEmployer posted Oct 22, 2026
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Applications0
Apply BeforeNo deadline

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About This Role

PENN Interactive is seeking a Senior Data Engineer to join the digital team at PENN Entertainment, Inc., North America's provider of sports content, casino gaming, and entertainment experiences. This remote role involves collaborating with the Data Services team to construct, validate, and deliver transformed data fulfilling stakeholder needs. The position suits professionals with a technical background, advanced SQL capabilities, and an enthusiasm for professional sports, betting, and casino gaming. The…

Job Description

PENN Interactive is seeking a Senior Data Engineer to join the digital team at PENN Entertainment, Inc., North America's provider of sports content, casino gaming, and entertainment experiences. This remote role involves collaborating with the Data Services team to construct, validate, and deliver transformed data fulfilling stakeholder needs. The position suits professionals with a technical background, advanced SQL capabilities, and an enthusiasm for professional sports, betting, and casino gaming.

The chosen candidate will coordinate with business stakeholders and data engineers, create dbt models, manage Airflow scheduling, conduct analyses, and support organizational adoption of a data exploration tool. Additional duties involve assisting with hiring, onboarding, mentorship, and team development.

Responsibilities

  • Collaborate with business stakeholders to determine data projects and opportunities
  • Partner with data engineers to construct data pipelines and resolve issues
  • Develop dbt models using SQL expertise
  • Manage Airflow tasks and scheduling
  • Help colleagues troubleshoot data problems connected to modeling and analysis
  • Perform analyses and deliver clear recommendations to business stakeholders
  • Supervise team analysis to confirm shared insights and data are accurate
  • Assist with implementing and adopting an organizational data exploration tool
  • Support hiring, onboarding, and ongoing professional development for data engineers
  • Mentor team members

Requirements

  • Minimum of four years of experience in data engineering or analytics engineering
  • Practical experience with BigQuery, dbt, Airflow, Python, and relational databases
  • Proven background in building and optimizing data transformation pipelines
  • Ability to manage relationships with internal and external stakeholders
  • Experience working in fast-paced environments with pragmatic problem-solving skills

Qualifications

  • University degree in Computer Science, Statistics, Business, or a related discipline
  • Experience utilizing a data exploration tool such as Mode or Looker
  • Interest in sports, consumer products, betting, and casino games

Core Skills

Benefits

  • Competitive compensation package
  • Fun and relaxed work environment
  • Education and conference reimbursements
  • Opportunities for career progression and mentoring others
  • Bonus eligibility for non-sales positions

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is this position remote?

Yes, the source posting explicitly indicates that this is a remote role.

What is the salary range for the Senior Data Engineer?

The salary ranges from CAD 130,000 to CAD 175,000 per year, and non-sales positions are generally eligible for a bonus.

What experience is required for this role?

Candidates must have at least four years of analytics or data engineering experience, along with practical expertise in Python, BigQuery, Airflow, dbt, and relational databases.

What educational background is needed?

A university degree in Business, Statistics, Computer Science, or a related field is required.

Sample Interview Questions

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Posted by employer: Oct 22, 2026

Added to Jobsiz: Oct 22, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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