Analytics Engineer
MachinifyFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
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.
This information is not specified in the job description.
The job mentions locations throughout North America where you can build a future, suggesting flexibility, but specific remote or office requirements are not detailed.
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.
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.
Develops online sportsbooks and casino games
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.