[Hiring] Data Engineering Manager @Penn Interactive

Role Description

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.

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.
• Be comfortable 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.

Qualifications

• 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, Terraform.

Benefits

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