Senior Data Engineer

PENN Entertainment, Inc. (https://www.pennentertainment.com/) 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 (https://about.hollywoodcasino.com/), theScore Bet Sportsbook (https://thescore.bet/), or theScore (https://www.thescore.com/) 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 Senior Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements. The ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & casino games.

About the Work

• As a key member of our team, you will:
• Liaise with business stakeholders to identify data driven projects and opportunities.
• Liaise with data engineers to build data pipelines and solve related issues.
• Use your SQL expertise to develop dbt models.
• Manage Airflow tasks and scheduling.
• Assist team members in solving data issues related to both analysis and modeling.
• Complete analyses and present clear recommendations to business stakeholders.
• Oversee team analysis to ensure data and insights shared are accurate and informative.
• Help with implementation & adoption of a data exploration tool across the organization
• Provide support on data engineer hiring, onboarding and continued professional development. Mentor others.
• Other duties as required

About the You

• University degree in Computer Science, Statistics, Business, or related field.
• You possess a minimum of 4+ years of experience in analytics engineering/data engineering,
• You bring hands-on expertise with our technology stack: BigQuery, dbt, Airflow, Python, and relational databases.
• You have a proven track record in building and optimizing data transformation pipelines
• You excel in managing relationships with both internal and external stakeholders, ensuring alignment and
• transparency throughout project lifecycles.
• You excel in fast-paced environments, employing a pragmatic and adaptive approach to problem-solving.
• Experience with a data exploration tool such as Looker or Mode.
• Interest in Sports and consumer products

What We Offer

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

#LI-REMOTE

#LI-Hybrid

Salary Range

$130,000—$175,000 USD

_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.
_

Liaise with business stakeholders to identify data driven projects and opportunities. Liaise with data engineers to build data pipelines and solve related issues. Use your SQL expertise to develop dbt models. Manage Airflow tasks and scheduling. Assist team members in solving data issues related to both analysis and modeling. Complete analyses and present clear recommendations to business stakeholders. Oversee team analysis to ensure data and insights shared are accurate and informative. Help with implementation & adoption of a data exploration tool across the organization. Provide support on data engineer hiring, onboarding and continued professional development. Mentor others. University degree in Computer Science, Statistics, Business, or related field. Minimum of 4+ years of experience in analytics engineering/data engineering. Hands-on expertise with BigQuery, dbt, Airflow, Python, and relational databases. Proven track record in building and optimizing data transformation pipelines. Excel in managing relationships with both internal and external stakeholders. Excel in fast-paced environments, employing a pragmatic and adaptive approach to problem-solving. Experience with a data exploration tool such as Looker or Mode. Interest in Sports and consumer products.