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Data Engineer-Entry Level

Cleat Street Technologies
Full-time
On-site
San Francisco, California, United States
$120,000 - $132,000 USD yearly
Data Analytics
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.