Cleat Street is a sports analytics company that leverages proprietary technologies in sports prediction markets. Our mission is to be the most innovative sports analytics company in the world. We want to share this expertise with our customers so they can make smarter betting decisions. Discover more at cleatstreet.com.
Job Description:
We are seeking a talented and motivated Data Engineer to join our dynamic Engineering team. You will play a pivotal role in designing and implementing robust data pipelines and infrastructure to support our cutting-edge betting platform. Your responsibilities will include developing scalable data architectures, optimizing database performance, and ensuring data quality across our systems, all within our collaborative, in-office culture.
Key Responsibilities:
Design, develop, and maintain advanced data processing systems and ETL pipelines
Architect and manage high-performance, scalable infrastructure supporting low-latency, real-time data pipelines
Build and optimize different database systems and data pipelines for efficient data storage, retrieval, analysis, and serving of real-time data to both internal applications and customer-facing products
Enhance database performance for high-throughput transaction processing
Implement robust system resilience and failover strategies to ensure data integrity in high-frequency environments
Collaborate with cross-functional teams to identify and address data engineering challenges specific to sports betting analytics
Continually learn and apply new data technologies and frameworks
Actively participate in team meetings and contribute to data architecture planning and execution
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
Genuine interest in sports, sports analytics, and sports betting markets
Proficiency in programming languages such as Python, SQL, and Scala
Strong knowledge of database technologies, particularly PostgreSQL
Understanding of data modeling, data warehousing, and ETL processes
Strong analytical and problem-solving skills with keen attention to detail
Excellent communication and collaborative teamwork skills
Ability and willingness to learn quickly in a fast-paced environment
Bonus Qualifications:
Experience with low-latency data pipelines and real-time service integration
Knowledge of data visualization tools and techniques
Experience working with sports or betting data
Experience with data processing frameworks (Apache Spark, Kafka, Airflow)
Experience with AWS cloud services, especially Aurora, Redshift, S3, and Lambda
Experience with real-time data streaming architectures
Compensation and Benefits:
$120,000 - $132,000 with up to 50% bonus target
Signing bonus in the form of equity options
Competitive 401k plan
Medical, dental, and vision healthcare coverage
Unlimited PTO
Monthly stipend for attending sporting events
Free lunch daily
Cleat Street Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.