Data Engineering Manager, Regulatory Compliance

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 part of the Data Engineering team, you'll partner closely with Data Services, Analytics Engineering, Product, and Business stakeholders to design and deliver scalable, reliable, and high-quality data solutions. The ideal candidate has strong leadership, and communication skills, a passion for data, a strong background in computer science, and an interest in professional sports, betting and/or eSports.

About the Work

As a key member of our team, you will:

• Manage the day-to-day activities of the data engineering team, providing goal setting, mentorship, AI assisted SDLC, coaching, leadership, guidance and performance management and feedback. 
• Communicate professionally with several state and provincial regulatory professionals. Set clear expectations with regulators.
• Cofortable operating a high responsibility workstream with strict deadlines, and subjected to auditors.
• Collaborate with analytics, finance, compliance, and other engineering teams to build data pipelines, infrastructure and tooling to support Analytics initiatives
• Prioritize and manage data-related projects cross-functionally from inception to delivery
• Assist in the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
• Collaborate with the team to meet performance, scalability, and reliability goals
• Stay current with trends, techniques, technology and other factors impacting data engineering as deemed necessary
• Other duties as required 

About the You

• A solid foundation in data engineering science, with strong competencies in computer science, distributed systems, and software/system design
• Minimum 3 years in a data oriented leadership or management role, combined with at least 5 years of experience in software/data development
• Experience leading teams of 3 engineers or more
• Experience in a regulated industry strongly encouraged
• Demonstrated time management, project management and problem solving skills, and experience using Atlassian and other agile tools
• Ability to communicate complex technical information to various stakeholders, including non-technical members of the organization
• Excellent presentation and communication skills
• Demonstrated ability to effectively collaborate and work with all levels of the organization
• Ability to make and defend priority calls with stakeholders based on technical assessment and regulatory need Excellent teamwork and team building skills with a proven ability to delegate
• Experience with data pipeline and workflow management tools like Airflow, DBT, AWS Lambdas, etc.
• Strong Knowledge of relational databases, SQL, python, and docker
• Experience with cloud platform (GCP, AWS), and related services
• Systems design fundamentals plus working knowledge of data architecture and governance
• NICE TO HAVE: Web experience (React, Django, Flask), docker, machine learning concepts, GCP, AWS, Kubernetes, Teraform

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

$165,000—$200,000 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.
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Manage and mentor a data engineering team; partner with stakeholders to deliver scalable data solutions; communicate with regulatory professionals; collaborate on data pipelines and infrastructure; prioritize and manage data projects; assist in data architecture design; stay current with data engineering trends; minimum 3 years in a data leadership role with 5+ years in data/software development; strong computer science fundamentals; experience in regulated industries (encouraged); proficient with Atlassian and agile tools; excellent communication and teamwork skills; strong knowledge of SQL, Python, Docker; experience with AWS/GCP.