This is a fully remote position, open to applicants in California.

• Assist in the maintenance of production systems and aid in addressing issues that arise during live sporting events.

• Design low-latency, real-time analytics systems, encompassing raw data collection, feature creation, and endpoint deployment.

• Develop innovative sports betting data products and predictive offerings.

• Incorporate large and intricate real-time datasets into new consumer and enterprise solutions.

• Create production-level predictive analytics integrated into enterprise-grade APIs.

• Participate in the design and execution of new, fully-automated frameworks for sports data delivery.

• A BS/BA degree in Mathematics, Computer Science, or a related STEM discipline.

• At least 4+ years of proven experience in writing production-level code, specifically in Python.

• Strong proficiency in Python and SQL, preferably MySQL.

• Proven experience with Apache Airflow.

• Demonstrated familiarity with Kubernetes.

• Experience in building comprehensive end-to-end ETL pipelines.

• Knowledge in utilizing REST APIs.

• Familiarity with version control systems (git), continuous integration and deployment, shell scripting, and cloud computing infrastructures (AWS).

• Experience with web scraping and the processing of unstructured data.

• Understanding of data science and machine learning principles.

• Professional experience working with MLB or NBA data.

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional development and continuous learning.

• A dynamic and inclusive work environment.

Data Engineer

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