We’re the fastest-growing sports gaming company ever.
We build innovative games and products for American sports fans.
Founded in 2020, our team built four of today’s most widely played fantasy games and recently launched our Underdog Sportsbook. We are the only sportsbook to ever launch on our own home grown technology, which allows us to build different and innovative experiences. We believe there’s so much more to be built for sports fans, and we’ll continue to win by building the best products and experiences for our customers.
The opportunity in front of us to become the biggest company in our space is massive; after all, we’re currently sitting in the fastest-growing consumer industry in the U.S. In just over two years, we reached a nearly $500 million valuation through some of the best investors in the game, including Mark Cuban, Kevin Durant, BlackRock, and SV Angel. We are many times larger now and our growth is not slowing down.
At Underdog, we believe that sports are for everyone and are building a tomorrow for every fan. Want to help create that future? Join us.
About the role and why it’s unique:
- As a Director of Data Engineering, you’ll be responsible for roadmapping and implementing a vision for a scalable analytics data platform
- Establish best practices that achieve operational excellence in data availability, data quality, and data privacy
- Collaborate with the data science and data analytics teams to deliver high-impact data assets
- Design and implement data pipelines and transformation workflows that are optimized for flexibility and data quality, leveraging best-in-class tools for transformation, observability, and testing
- Lead, mentor, and scale the data engineering team, cultivating a culture of innovation, learning, and excellence.
- Partner with product, engineering, and analytics teams to understand their data needs and translate their business requirements to scalable technical solutions
- Stay on top of industry trends, emerging technologies, and best practices for data processing, storage, compute and ML development
- Develop and maintain robust governance frameworks, ensuring processes for monitoring, observability, and testing are in place to safeguard the integrity and availability of data
Who you are:
- At least 12+ years of experience in data engineering, data warehousing, and/or business intelligence roles
- Experience scaling and managing 10+ person teams
- Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment
- Strong familiarity with distributed computing and data storage mechanisms on the cloud environment (e.g. AWS/GCP/Azure) with hands-on experience in managing data infrastructure
- Track record of delivering scalable and innovative solutions, leveraging cutting-edge technologies for data warehousing and machine learning such as Kafka, DBT, Databricks
- Excellent leadership and communication skills with ability to influence and collaborate with stakeholders
- Advanced degree in Computer Science, Data Science, or a related field
- Advanced proficiency with Python, Java, or other OOP languages (at least 2)
- Advanced proficiency with SQL
Even better if you have:
- Strong interest in sports and/or sports betting
- Some experience building ML systems like recommendation engines
Our target starting base salary range for this position is between $248,000 and $280,000, 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
Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.
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