Data Engineer

Role Overview

As a Data Engineer, you will help build and operate the infrastructure that powers Swish Analytics’ consumer and enterprise real-time data offerings, including support for non-US sports coverage. This is a remote role.

Responsibilities

• Support production systems and help triage issues during live sporting events
• Architect low-latency, real-time analytics systems, including:
  • raw data collection
  • feature development
  • endpoint production
• Build sports betting data products and prediction offerings
• Integrate large, complex real-time datasets into consumer and enterprise products
• Develop production predictive analytics and expose them via enterprise-grade APIs
• Design and implement fully automated sports data delivery frameworks
• Contribute to end-to-end ETL pipelines and production data workflows

Requirements

• 4+ years of production-level coding experience (Python)
• Proficiency in Python and SQL (preferably MySQL)
• Demonstrated experience with Airflow
• Demonstrated experience with Kubernetes
• Experience building end-to-end ETL pipelines
• Experience using REST APIs
• Experience with Git, CI/CD, shell scripting, and AWS cloud infrastructure
• Experience with web scraping and cleaning unstructured data
• Knowledge of data science and machine learning concepts
• Professional experience with MLB or NBA data

Nice-to-Haves

• Comfort working in uncharted territory and building in a fast-paced, evolving environment