Senior Data Engineer, Analytics Platform at Penn Interactive

Toronto, Ontario, Canada

Penn Interactive Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Gaming, Media, EntertainmentIndustries

Requirements

  • University degree in Computer Science, Statistics, Business, or related field
  • Minimum of 4+ years of experience in analytics engineering/data engineering
  • Hands-on expertise with BigQuery, dbt, Airflow, Python, and relational databases
  • Proven track record in building and optimizing data transformation pipelines
  • Experience managing relationships with internal and external stakeholders
  • Ability to work in fast-paced environments with a pragmatic and adaptive approach to problem-solving
  • Experience with a data exploration tool such as Looker or Mode

Responsibilities

  • Liaise with business stakeholders to identify data-driven projects and opportunities
  • Liaise with data engineers to build data pipelines and solve related issues
  • Use SQL expertise to develop dbt models
  • Manage Airflow tasks and scheduling
  • Assist team members in solving data issues related to 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

Skills

Key technologies and capabilities for this role

SQLdbtAirflowData PipelinesData ModelingProblem-Solving

Questions & Answers

Common questions about this position

What skills and experience are required for this Senior Data Engineer role?

Candidates need a university degree in Computer Science, Statistics, Business, or related field, minimum 4+ years of experience in analytics engineering/data engineering, and hands-on expertise with BigQuery, dbt, Airflow, Python, and relational databases. Strong SQL skills and a proven track record in building and optimizing data transformation pipelines are also essential.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Senior Data Engineer role remote or does it require office work?

The job mentions locations throughout North America where you can build a future, suggesting flexibility, but specific remote or office requirements are not detailed.

What does the team culture look like at PENN Entertainment?

The company emphasizes career growth, supporting skill expansion and new opportunities, and values passion for data, professional sports, betting, and eSports in a collaborative team environment focused on cutting-edge platforms.

What makes a strong candidate for this Data Engineer position?

A strong candidate excels in fast-paced environments with a pragmatic and adaptive approach, has expertise in stakeholder management for alignment and transparency, and experience mentoring others in data engineering.

Penn Interactive

Develops online sportsbooks and casino games

About Penn Interactive

Penn Interactive specializes in developing online sportsbooks, casinos, and free-to-play gaming experiences, utilizing cutting-edge technologies to deliver immersive sports betting experiences and enhance the overall gaming experience. The company leverages advanced technologies to provide a seamless and engaging gaming experience, including innovative features for sports betting and casino gaming.

1818 Market St, Philadelphia, PA 19103, USAHeadquarters
2015Year Founded
VENTURE_UNKNOWNCompany Stage
Data & AnalyticsIndustries
201-500Employees

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