Senior Data Engineer

Penn Interactive

3d • $130,000 - $175,000

About The Position

As a Senior Data Engineer, you will work with the Data Services team to build, validate, and deliver transformed data that meets stakeholder requirements. The role focuses on collaborating with business stakeholders and data engineers, developing dbt models, managing Airflow tasks and schedules, resolving data issues, and producing accurate analyses and recommendations. You will also support the adoption of a data exploration tool and contribute to hiring, onboarding, professional development, and mentoring. The ideal candidate has strong SQL skills, a technical background, and an interest in professional sports, betting, and casino games.

Requirements

• University degree in Computer Science, Statistics, Business, or a related field.
• At least 4 years of experience in analytics engineering or data engineering.
• Hands-on expertise with BigQuery, dbt, Airflow, Python, and relational databases.
• Proven track record building and optimizing data transformation pipelines.
• Strong relationship-management skills with internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles.
• Ability to work in fast-paced environments with a pragmatic and adaptive approach to problem-solving.

Nice To Haves

• Experience with a data exploration tool such as Looker or Mode.
• Interest in sports and consumer products.

Responsibilities

• Liaise with business stakeholders to identify data-driven projects and opportunities.
• Work with data engineers to build data pipelines and resolve related issues.
• Develop dbt models using SQL.
• Manage Airflow tasks and scheduling.
• Help team members resolve data issues related to analysis and modeling.
• Complete analyses and present clear recommendations to business stakeholders.
• Oversee team analyses to ensure shared data and insights are accurate and informative.
• Help implement and drive adoption of a data exploration tool across the organization.
• Support data engineer hiring, onboarding, and continued professional development.
• Mentor others.
• Perform other duties as required.

Benefits

• Competitive compensation package.
• Education and conference reimbursements.
• Opportunities for career progression and mentoring others.
• Benefits for eligible employees, with options and guidance intended to support employees physically, financially, and emotionally.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior