As a Director of Data Engineering, you'll lead the development of a scalable analytics platform, ensuring data quality, availability, and governance while mentoring a data engineering team.
We’re Underdog.
The fastest-growing sports gaming company – ever.
We build innovative games, products, and experiences for American sports fans.
We’re here to shake up the fastest growing industry with bold ideas, custom-built tech, and the drive to win.
Founded in 2020, our team has built four of today’s most widely played fantasy games and launched the Underdog Sportsbook – built entirely in-house with our own technology. That means we control our product, move fast, and create experiences you won’t find anywhere else.
In just over two years, we’ve reached over a $1.2 billion valuation, with investors like BlackRock, Spark Capital, SV Angel, Mark Cuban, Kevin Durant, and Adam Schefter. And we’re just getting started.
At Underdog, we believe that sports are for everyone. 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
This position may require sports betting licensure based on certain state regulations.
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.
Top Skills
Aws,Gcp,Azure,Kafka,Dbt,Databricks,Python,Java,Sql
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