puestos de Data Scientist en Chile

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.

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 high‑quality and sustainable data‑driven solutions to improve profitability, growth and the user experience. You’ll work hand in hand with the Analytics & 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.

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 heading the investigation into their usefulness to the team
• Maintain and expand existing systems, tooling, and infrastructure
• Maintain the data warehouse 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.

• A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms, and software design
• 2+ years of experience in data engineering
• Strong knowledge of Python
• 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, processing, and orchestration—including Third‑Party APIs, Change Data Capture, Streaming Data
• Experience with BigQuery, Snowflake, or other cloud, SQL‑based data warehouses
• Experience with at least one major cloud platform (AWS, GCP, Azure)
• Experience with Kubernetes
• Experience with testing frameworks such as RSpec, Jest, pytest or equivalent
• Strong organization and collaboration skills
• Excellent written and oral communication skills.

• Experience working cross‑functionally with Data Scientists, Analytics Engineers, DevOps, and other engineering teams.
• Experience with Java
• Experience with Spark

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

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.