Data Engineer

About Our Client

The organization operates in the sports analytics and betting industry, developing predictive sports analytics data products that help improve oddsmaking through engineering, mathematics, and sports betting expertise. It serves consumer and enterprise clients across multiple industries, providing real-time data and predictive analytics designed to improve accuracy and decision-making.

About the Opportunity

The Data Engineer supports the infrastructure and delivery of core consumer and enterprise data products, with a focus on expanding coverage of non-U.S. sports. This remote role involves building and maintaining real-time analytics systems, developing data products, and strengthening data delivery frameworks that support accurate predictions.

The position also contributes to production systems supporting live sporting events, requiring strong technical problem-solving and the ability to work with high-volume, real-time data.

Responsibilities

• Support production systems and resolve issues during live sporting events

• Design and build low-latency, real-time analytics systems, including data collection, feature development, and endpoint production

• Develop new sports betting data products and predictive offerings

• Integrate complex real-time datasets into consumer and enterprise products

• Create production-grade predictive analytics APIs

• Design and implement automated sports data delivery frameworks

• Build and maintain end-to-end ETL pipelines

• Improve data quality, reliability, and availability across analytics systems

• Collaborate with data science and engineering teams to deliver scalable data solutions

Requirements

• Bachelor’s degree in Mathematics, Computer Science, or a related STEM field

• Minimum 4 years of experience writing production-level Python code

• Strong proficiency in Python and SQL, preferably MySQL

• Experience with Airflow and Kubernetes

• Proven experience building end-to-end ETL pipelines

• Experience developing and integrating REST APIs

• Familiarity 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 working with MLB or NBA data

• Strong troubleshooting and problem-solving skills

• Ability to work effectively in a remote, collaborative environment

Pay Range and Compensation Package

• Starting salary of $145,000 per year, depending on experience and qualifications

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.