Staff Data Engineer
Penn Interactive2 months ago
Remote, CanadaStaff+
Responsibilities
- Identify and prioritize data-driven opportunities with business stakeholders.
- Design, build, maintain, and optimize scalable data pipelines for analytics, reporting, product, and operational use cases.
- Develop and test dbt models and manage orchestration platforms including Airflow, with exposure to Dagster.
- Design dimensional, semantic, and analytical data models for self-service analytics and business intelligence.
- Drive data architecture decisions and establish engineering standards and best practices.
- Improve the reliability, scalability, and performance of the data ecosystem with data engineering and platform teams.
- Develop data quality frameworks, testing strategies, and observability solutions.
- Support governance through documentation, metadata management, lineage, and data ownership practices.
- Complete complex analyses and provide actionable recommendations to stakeholders.
- Champion data exploration and self-service analytics adoption.
- Lead technical design reviews and mentor engineers through code reviews, architectural guidance, and knowledge sharing.
- Support data engineer hiring, onboarding, mentoring, and professional development.
- Participate in incident response, root cause analysis, and continuous improvement for critical data platform issues.
Requirements
- 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, ETL/ELT design patterns, and dimensional modeling.
- Experience building and optimizing scalable data transformation pipelines in cloud environments.
- Experience with Google Cloud Platform services including BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
- Exposure to Azure data platforms and services is preferred.
- 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, and Tableau or similar platforms.
- Excellent communication and stakeholder management skills.
- 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.
- Career progression opportunities and opportunities to mentor others.
- Remote role, as indicated by the #LI-REMOTE designation.
Tech Stack
Categories
Data Engineering
About Penn Interactive
Penn Interactive is the digital product and engineering arm of PENN Entertainment (NASDAQ: PENN), developing and operating online sportsbook and iCasino platforms for regulated markets in North America. Its portfolio includes ESPN BET in the U.S., theScore Bet in Ontario, and Hollywood Casino online, all built on proprietary tech. Backed by a parent company headquartered in Wyomissing, Pennsylvania that operates 40+ casinos across 20 states, it connects online play with on-property experiences.