Senior Data Engineer

Penn Interactive
Canada
RemoteCareer-pivot friendly

Who this role is best for

Candidates with data engineering experience and interest in sports and consumer products will find this remote role with a focus on collaboration and technical stack alignment.

Best fit for

  • Candidates with 4+ years in data engineering and experience building data transformation pipelines
    — “proven track record in building and optimizing data transformation pipelines”
  • Individuals who thrive in remote environments and have a passion for sports and consumer products
    — “Interest in Sports and consumer products”

Things to consider

  • The role requires managing data exploration tools and mentoring others
    — “Help with implementation & adoption of a data exploration tool across the organization”
  • This role may involve supporting data engineer hiring and onboarding
    — “Provide support on data engineer hiring, onboarding and continued professional development. Mentor others.”

How to stand out

  • Emphasize experience with Airflow and dbt in your resume and interview responses
    — “You bring hands-on expertise with our technology stack: BigQuery, dbt, Airflow, Python, and relational databases.”
  • Highlight your ability to liaise with stakeholders and ensure alignment in projects
    — “You excel in managing relationships with both internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles.”
  • Showcase your ability to deliver clear recommendations and accurate data insights
    — “Complete analyses and present clear recommendations to business stakeholders.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built and optimized data transformation pipelines
  • Provided support on data engineer hiring
Typical background
University degree in Computer Science, Statistics, Business, or related field

Skills & requirements

Required

SQLdbtAirflowPythonData Transformation Pipelines

Preferred

LookerModeSports And Consumer Products Knowledge

Stack & domain

BigQuerydbtAirflowPythonRelational DatabasesCommunicationProblem-solvingMentorshipData EngineeringSports BettingCasino Games

About the role

Original posting from Penn Interactive via Greenhouse

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 Senior 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 & casino games.

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 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 relationships 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.

Interest in Sports and consumer products

What We Offer

Competitive compensation package

Fun, relaxed work environment

Education and conference reimbursements.

Opportunities for career progression and mentoring others

#LI-REMOTE

#LI-Remote

Salary Range$130,000—$175,000 CADPenn 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: Penn Interactive careers (Greenhouse)

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