[Hiring] Staff Data Engineer @Penn Interactive

Role Description

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

• 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.

Qualifications

• 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.

Benefits

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

Salary Range

$160,000 — $205,000 CAD

Company Description

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.