Data Engineer

Summary

Join Underdog, the fastest-growing sports gaming company, as a Data Engineer on the Data Platform team. You will architect and develop Underdog’s sports-focused data systems and pipelines, building scalable data platform infrastructure using Terraform. Responsibilities include implementing monitoring mechanisms, collaborating with stakeholders, leading code reviews, and researching emerging data technologies. This role requires at least 3 years of experience building scalable data pipelines on a cloud environment, strong familiarity with distributed computing, and proficiency in Python and SQL. The ideal candidate will also have experience with Golang, DevOps practices, and a strong interest in sports. Underdog offers competitive compensation, including a base salary range of $135,000-$150,000 plus equity, unlimited PTO, 16 weeks of parental leave, and a comprehensive benefits package.

Requirements

• At least 3 years of experience building scalable and durable data pipelines and data systems on a cloud environment (e.g. AWS, GCP, Azure)
• Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment
• Excellent leadership and communication skills with ability to influence and collaborate with stakeholders
• Strong familiarity with distributed computing and data storage mechanisms on the cloud environment with hands-on experience in managing data infrastructure
• Familiarity with containerization and orchestration technologies such as Docker, Kubernetes, or ECS
• Experience with data streaming frameworks such as Apache Kafka, Apache Flink, or Kinesis
• Advanced proficiency with Python and SQL
• At least one year of experience with Golang
• Experience with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK, CloudFormation)

Responsibilities

• Design, build, and optimize scalable data platform infrastructure using Terraform to support batch and real-time data processing and storage on the cloud using Kafka, Kinesis, RDS, and S3
• Implement and maintain monitoring, alerting, and logging mechanisms to ensure the health and performance of the data platform
• Collaborate with data scientists, engineers, and business stakeholders to understand data requirements and translate them into scalable technical solutions
• Lead code reviews, provide constructive feedback, and evangelize best practices to maintain code and data quality
• Research and keep up to date on emerging data technologies and trends and focus on iteratively implementing them into Underdog’s data systems

Preferred Qualifications

• Strong interest in sports
• Prior experience in the sports betting industry
• Knowledge of ML concepts, with some experience in building inference systems

Benefits

• Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
• 16 weeks of fully paid parental leave
• A $500 home office allowance
• A connected virtual first culture with a highly engaged distributed workforce
• 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents