Staff Data Engineer
Remote, United States
- Pay
USD 160,000–205,000/yearAnnual period assumed — pay source
Salary Range $160,000—$205,000 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.
Read the full posting- Work setting
Remote stated — work setting source
Listed location: Remote, United States
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign, build, and maintain scalable data pipelines for analytics and product use cases
Develop, test, and optimize dbt models
Manage Airflow orchestration and design dimensional and semantic data models
Drive data architecture decisions and engineering standards
Lead technical design reviews and mentor engineers
From the employer’s posting
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.
Drive data architecture decisions and establish engineering standards and best practices across the organization.
Lead technical design reviews and provide mentorship through code reviews, architectural guidance, and knowledge sharing.
Education & alternatives
About the You - 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.
Tools in this posting
- Python
- SQL
- Azure
- BigQuery
- dbt
- Looker
- Tableau
- Airflow
- Dagster
- GCP
Source — Tool mentions in context
- 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 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 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.
- 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.
- 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.
- 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.
About Penn Interactive
Collaborate with business stakeholders to identify and prioritize data-driven opportunities and initiatives.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Sep 3, 2026 · 50 days ago
- Recorded sightings
- 22
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
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 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
As a key member of our team, you will:
- 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.
About the You
- 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.
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
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.
Source details
Source notes
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- Pay
Salary Range $160,000—$205,000 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.
- Location & working pattern
Remote, United States
- Opportunities for career progression and mentoring others #LI-REMOTE #LI-Hybrid Salary Range
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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