Senior Data Engineer
Philadelphia
Penn Interactive
Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia. PI is the digital arm of PENN Entertainment (NASDAQ: PENN), the largest regional casino operator in the U.S.). Our mission is to challenge the norms of the gaming industry by building an immersive interactive gaming experience that is responsible, innovative, and fun. We are committed to helping our team members grow and succeed. We believe that hiring talented individuals that love what they do will help us win!
About the Role & Team
As part of the theScore Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. You’ll 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
As a key member of our Data Engineering team you will:
- 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
- Maintain the data lake ensuring data integrity and performance
- Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
- Other duties as required
About You
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
- 5+ years of experience in data or software engineering
- Strong Knowledge of Python
- Strong Knowledge of streaming technologies, like Kafka
- Strong Knowledge of Docker and Kubernetes
- Strong knowledge of relational databases and SQL
- Experience building out a scalable infrastructure to fit the needs of a growing company
- Experience in data ingestion and processing including Third-Party APIs (e.g. Appsflyer, Branch, Facebook etc.)
- Experience with RedShift, BigQuery or other SQL-based data warehouses
- Experience with at least one major cloud platform (AWS, GCP, Azure)
- Experience with testing frameworks such as RSpec, Jest, pytest or equivalent
- Strong organization and collaboration skills
- Excellent written and oral communications skills.
- NICE TO HAVE: Experience working with Data Scientists or deploying machine learning models
- NICE TO HAVE: Experience developing frontend applications, using JavaScript and React
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
https://www.linkedin.com/company/penn-interactive-pi/
Recently being recognized as a top workplace in the United States, we believe people work their best when they can be themselves. We are looking for hungry, innovative thinkers to help us challenge the status quo of the gaming industry. Diversity, equity, and inclusion are vital to all of our processes, programs, and structures. Your story, who you are, and your experience matter here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure BigQuery Computer Science Data pipelines Distributed Systems Docker Engineering GCP JavaScript Kafka Kubernetes Machine Learning ML models Pipelines Python RDBMS React Redshift SQL Streaming Testing
Perks/benefits: Career development Competitive pay Equity Parental leave Startup environment
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