Staff Data Engineer

🕒 Setembro 2

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $205.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Penn Interactive

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🎲 Jogos de Azar

🎮 Jogos

🛍️ Comércio Eletrônico

Gambling • Gaming • eCommerce

Penn Interactive (PI) é uma empresa de jogos interativos com sede na Filadélfia e escritórios em Greenfield, MA, e Cherry Hill, NJ. Como o braço digital da PENN Entertainment (NASDAQ: PENN), principal fornecedora de entretenimento integrado, conteúdo esportivo e experiências de jogos de cassino da América do Norte, estamos prontos para um rápido crescimento no espaço de apostas esportivas e cassinos online. Fizemos uma parceria com Barstool Sports e theScore para criar uma experiência de apostas esportivas única e empolgante através dos nossos estabelecimentos físicos e dos aplicativos móveis do Sportsbook.

Descrição

• 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 • Drive data architecture decisions and establish engineering standards and best practices • Improve the reliability, scalability, and performance of the data ecosystem • 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 data exploration and self-service analytics adoption • Lead technical design reviews and provide mentorship 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 initiatives • Perform other duties as required

🎯 Requisitos

• 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

🏖️ Benefícios

• 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, expert guidance, and always-on tools supporting employees physically, financially, and emotionally