What are the responsibilities and job description for the Data Engineer position at Underdog Sports?
About the role and why it’s unique:
- As a Data Engineer on the Data Platform team, you’ll be architecting and developing Underdog’s sports focused data systems and data pipelines
- 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
Who you are:
- 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)
Even better if you have:
- Strong interest in sports
- Prior experience in the sports betting industry
- Knowledge of ML concepts, with some experience in building inference systems
Our target starting base salary range for this position is between $135,000 and $150,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.
What we can offer you:
- 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
#LI-REMOTE
Salary : $135,000 - $150,000
