Data Engineer

Underdog, the fastest-growing sports gaming company, is seeking a Data Engineer to join their Data Platform team. Founded in 2020, Underdog has quickly risen to prominence, reaching a $500 million valuation with backing from notable investors like Mark Cuban and Kevin Durant.

As a Data Engineer, you'll be at the forefront of architecting and developing sports-focused data systems and pipelines. The role involves working with cutting-edge technologies including Kafka, Kinesis, RDS, and S3, while using Terraform to build and optimize scalable data platform infrastructure. You'll be responsible for implementing monitoring systems, collaborating with cross-functional teams, and maintaining high standards through code reviews and best practices.

The ideal candidate brings 3+ years of experience in building scalable data pipelines on cloud platforms, with strong expertise in Python, SQL, and Golang. Your experience with containerization, orchestration technologies, and DevOps practices will be crucial in this role. A background in sports betting or strong interest in sports is a plus.

Underdog offers a competitive compensation package starting at $135,000-$150,000 plus equity, along with comprehensive benefits including unlimited PTO, 16 weeks of paid parental leave, and full health coverage. The company maintains a virtual-first culture, fostering collaboration across their distributed workforce.

This is an exceptional opportunity to join a rapidly growing company that's revolutionizing the sports gaming industry through innovative technology and user experiences. If you're passionate about building scalable data solutions and want to be part of shaping the future of sports gaming, this role at Underdog could be your perfect next step.