Senior Data Engineer
Senior Data Engineer
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Job Description
PENN Entertainment Inc. is North Americas 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.
Were always on the lookout for those who are passionate about creating and delivering cuttingedge online gaming and sports media products. Whether its through ESPN BET Hollywood Casino theScore Bet Sportsbook & Casino or theScore media app were excited to push the boundaries of whats possible. These stateoftheart platforms are powered by proprietary inhouse technology a key component of PENNs omnichannel gaming and entertainment strategy.
When you join PENN Entertainments digital team youll not only work on these cuttingedge platforms through theScore and PENN Interactive but youll also be part of a company that truly cares about your career growth. Were 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 part of the Data Engineering team you will be working with a team of smart friendly and dedicated Data Engineers Analysts and Data Scientists determined to develop highquality and sustainable datadriven solutions to improve profitability growth and the user experience. Youll work hand in hand with the ML Analytics and Reporting teams to develop and maintain data pipelines & internally developed tools to improve workflows and automate processes wherever possible. The ideal candidate has a passion for data a strong background in data engineering database management & computer science. An interest in professional sports betting and/or eSports is a plus.
About the Work
- Collaborate with Data Science Reporting Analytics and other engineering teams to build data pipelines infrastructure and tooling to support business initiatives
- Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
- Collaborate with the team to meet performance scalability and reliability goals
- Write out tests and thorough documentation for processes and tooling
- Adapt to working with new technologies and frameworks sometimes headlining the investigation into their usefulness to the team
- Maintain and expand existing systems tooling and infrastructure
- Develop and maintain streaming pipelines that ingest nearreal time data for teams across the enterprise
- Take ownership of projects plan and collaborate with other members of the Analytics and Reporting teams or others within the company
- Provide oncall support for workloads critical to the organization
- Other duties as required
About You
- A solid foundation in computer science with strong competencies in data structures distributed systems algorithms and software design
- 7 years of experience in data or software engineering
- Strong knowledge of Python
- Strong knowledge of relational databases and SQL
- Strong knowledge of streaming technologies such as Kafka Spark Flink and Beam
- Experience with Docker and Kubernetes
- Experience building out a scalable infrastructure to fit the needs of a growing company
- Experience with Google Cloud Platform
- Experience with testing frameworks such as Pytest
- Strong organization and collaboration skills
- Excellent written and oral communications skills
What We Offer
- Competitive compensation package
- Fun relaxed work environment
- Education and conference reimbursements.
- Parental leave top up
- Opportunities for career progression and mentoring others
#LIREMOTE
#LIREMOTE
Candidates residing in Ontario requiring special accommodation can email
theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability or age.
Required Experience:
Senior IC
Employment Type
Full Time
