Real-Time Sports Data Engineer (Remote)

Swish Analytics; San Francisco (CA); Hybrid; USD 144,000 - 176,000; Full time

Job summary

Swish Analytics is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core data offerings, including real-time analytics for sports data. This is a remote position supporting non-US coverage and collaboration across teams.

You will architect low-latency analytics systems, develop ETL pipelines, and build production-grade APIs to deliver predictive sports insights and betting-ready data products.

Qualifications

• BS/BA degree in Mathematics, Computer Science, or related STEM field.
• Minimum of 2+ years of demonstrated experience writing production level code (Python).
• Proficiency in Python and SQL (preferably MySQL). Demonstrated experience with Airflow.
• Demonstrated experience with Kubernetes.
• Experience building end-to-end ETL pipelines.
• Experience utilizing REST APIs.
• Experience with version control (git), CI/CD, shell scripting, and AWS.
• Experience with web scraping and cleaning unstructured data.
• Knowledge of data science and machine learning concepts.
• Strong interest in sports and sports betting, with knowledge of US sports.

Responsibilities

• Support production systems and help triage issues during live sporting events.
• Architect low-latency, real-time analytics systems including raw data collection and features.
• Build new sports betting data products and predictions offerings.
• Integrate large and complex real-time datasets into new products.
• Develop production-level predictive analytics into enterprise-grade APIs.
• Contribute to design and implementation of automated sports data delivery frameworks.

Skills

Python

SQL

Airflow

Kubernetes

ETL pipelines

REST APIs

Git

CI/CD

AWS

Web scraping

Data science basics

Sports betting knowledge

Education

BS/BA in Mathematics, Computer Science, or related STEM field

Tools

MySQL

Job description

Swish Analytics is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core data offerings, including real-time analytics for sports data. This is a remote position supporting non-US coverage and collaboration across teams.

You will architect low-latency analytics systems, develop ETL pipelines, and build production-grade APIs to deliver predictive sports insights and betting-ready data products.