Senior Data Engineer
Updated on 4/16/2024
Penn Interactive

201-500 employees

Digital platform for sports betting and online casino gaming
Company Overview
Penn Interactive, the digital arm of North America's leading integrated entertainment provider, PENN Entertainment, is a rapidly expanding entity in the sports betting and online casino industry, with a unique partnership with theScore enhancing its sports betting experience. The company's culture fosters technical innovation, as evidenced by their user-friendly Sportsbook mobile apps and engaging promotional games like the new member Flyin' Cash Grab. With a strong industry presence and a competitive edge in interactive gaming, Penn Interactive offers an exciting work environment for those seeking growth in the digital entertainment and gaming sector.
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

2015

Headquarters

Philadelphia, Pennsylvania

Growth & Insights
Headcount

6 month growth

10%

1 year growth

15%

2 year growth

-2%
Locations
Philadelphia, PA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Redshift
Python
JavaScript
Airflow
Data Science
Data Structures & Algorithms
Jest
SQL
AWS
Data Analysis
Snowflake
Google Cloud Platform
CategoriesNew
Data Engineering
Data Management
Data & Analytics
Requirements
  • 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 Airflow, 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, Snowflake 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
Responsibilities
  • 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 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