Staff Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $160k - $205k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Penn Interactive

WebsiteLinkedInAll Job Openings

201 - 500 employees

🎲 Gambling

🎮 Gaming

🛍️ eCommerce

Gambling • Gaming • eCommerce

Penn Interactive is an interactive gaming company headquartered in Philadelphia, with additional offices in Greenfield, MA, and Cherry Hill, NJ. As the digital arm of PENN Entertainment, it manages various digital products, including the Barstool Sportsbook. The company is focused on fast-paced growth in the sports betting and online casino space, leveraging partnerships with Barstool Sports and theScore to offer a unique sports betting experience through mobile apps and retail locations.

📋 Description

• 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, with exposure to Dagster • Design and implement dimensional, semantic, and analytical data models for self-service analytics and business intelligence • Drive data architecture decisions and establish engineering standards and best practices • Partner with data engineers and platform teams to improve data ecosystem reliability, scalability, and performance • Develop and maintain 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 business stakeholders • Oversee team analysis for data accuracy, consistency, and business relevance • Champion adoption of data exploration and self-service analytics tools • Lead technical design reviews and mentor 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 • Perform other duties as required

🎯 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 concepts, ETL/ELT design patterns, and dimensional modeling • Experience building and optimizing scalable data transformation pipelines in cloud environments • Experience 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 • Bonus eligibility for most non-sales positions • Best-in-class benefits with options and support for physical, financial, and emotional wellbeing