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Senior Data Engineer, Analytics Platform
PENN Interactive
À distance
CAD 80 000 - 100 000
Plein temps
Il y a 30+ jours

Résumé du poste

A leading gaming and entertainment company based in Toronto is seeking a Data Engineer to enhance their data services team. The ideal candidate should have over 4 years of experience in data engineering and solid skills in SQL, Python, and data transformation tools. Responsibilities include managing data pipelines and collaborating with business stakeholders to drive data initiatives. The role offers competitive compensation and a supportive work environment.

Prestations

Competitive compensation package
Fun, relaxed work environment
Education and conference reimbursements
Opportunities for career progression and mentoring

Qualifications

  • Minimum of 4+ years of experience in analytics engineering/data engineering.
  • Hands-on expertise with technology stack: BigQuery, dbt, Airflow, Python.
  • Proven track record in building and optimizing data transformation pipelines.

Responsabilités

  • Liaise with business stakeholders to identify data-driven projects.
  • Develop dbt models using SQL expertise.
  • Manage Airflow tasks and scheduling.

Connaissances

SQL expertise
Data transformation
Stakeholder management
Python
Airflow
BigQuery
dbt

Formation

University degree in Computer Science, Statistics, Business, or related field

Outils

BigQuery
dbt
Airflow
Python
Looker or Mode
Description du poste

Toronto, ON

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 Data Engineer, you’ll work hand‑in‑hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements. The ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & eSports.

About the Work

As a key member of our team, you will:

  • Liaise with business stakeholders to identify data driven projects and opportunities.
  • Liaise with data engineers to build data pipelines and solve related issues.
  • Use your SQL expertise to develop dbt models.
  • Manage Airflow tasks and scheduling.
  • Assist team members in solving data issues related to both analysis and modeling.
  • Complete analyses and present clear recommendations to business stakeholders.
  • Oversee team's analysis to ensure data and insights shared are accurate and informative.
  • Help with implementation & adoption of a data exploration tool across the organization.
  • Provide support on data engineer hiring, onboarding and continued professional development. Mentor others.
  • Other duties as required.
About the You
  • University degree in Computer Science, Statistics, Business, or related field.
  • You possess a minimum of 4+ years of experience in analytics engineering/data engineering.
  • You bring hands‑on expertise with our technology stack: BigQuery, dbt, Airflow, Python, and relational databases.
  • You have a proven track record in building and optimizing data transformation pipelines.
  • You excel in managing with both internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles.
  • You excel in fast‑paced environments, employing a pragmatic and adaptive approach to problem‑solving.
  • Experience with a data exploration tool such as Looker or Mode.
What We Offer
  • Competitive compensation package.
  • Fun, relaxed work environment.
  • Education and conference reimbursements.
  • Opportunities for career progression and mentoring others.

#LI-REMOTE

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.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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