Hi, we’re Underdog!
We’re the fastest-growing sports gaming company
ever.
Our mission is to build innovative games and products for American sports fans.
Founded in 2020, our team built three of today's most widely played fantasy games and successfully launched the largest contest in the history of fantasy sports: a $15M NFL Best Ball tournament -- and there’s a lot more to come! Underdog’s modern tech environment and in-house product development allow us to continuously deliver the best experiences for our users.
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.
Please note, Underdog is a US based company and no sponsorship is available for this position at this time.
About the role and why it’s unique:
As a Senior Data Engineer on the Transformation team, you’ll be instrumental in the development of Underdog’s reporting layer by designing models in DBT, focused specifically on our Sportsbook product
In this role, you will work cross-functionally with Data Scientists, Product Managers, and other stakeholders across the business to understand Sportsbook data needs to design performant, flexible, and low-technical-debt solutions
Using BigQuery and DBT, design and execute a scalable Sportsbook reporting layer that minimizes technical debt, makes efficient use of BQ resources, keeps data fresh, adheres to Underdog best practices, and allows stakeholders to access the data they need
Create and maintain tests and documentation about the reporting layer inside the DBT models, to enable Data Scientists to quickly find what they need
Perform validation and data integrity checks on new datasets and load procedures before delivery to stakeholders, investigating and resolving data discrepancies and escalating to the engineering team or other teams as needed
Stay abreast of all of Underdog's Sportsbook data models, processes, business rules, contest rules, and product functionality, including compliance and regulatory considerations; plan/execute needed changes in the reporting layer
Use your expertise to help shape and execute data policies around PII handling
Assist Data Scientists in developing analytics datasets to meet the needs of the business
Meet with stakeholders as needed to discuss existing and upcoming data projects and deliverables; stakeholders include, but are not limited to: Product Managers, Engineers, other members of the Data team, third-party vendors, and other team members throughout the organization who are involved in data projects
Communicate continuously about progress, blockers, and anything else related to assigned tasks
Document and report issues with source data and follow up with owners on resolution/path forward
Use Jira proactively to manage tasks and deliverables; participate in regular sprint planning and retrospective meetings
Periodically present your work at team lunch-and-learn meetings
Proactively look for ways we can continuously improve our architecture in the reporting layer, as well as our team processes
Who you are:
Curious and inquisitive nature (you want to know how things work and you ask good questions)
Proactive problem-solver (you notice and act on problems we already have; you anticipate problems we might have in the future and try to solve for those now)
Strong attention to detail (you have the ability to get "in the weeds" to investigate, understand, and resolve data issues)
Actively accountable (you own and learn from your mistakes; you care about getting things right; you actively solicit feedback)
Comfortable working in a fast-paced environment
Productive and engaged with minimal oversight
You think like an architect (you build solutions that are supportable, minimize technical debt, comprehensive enough to meet most future needs yet flexible enough to adapt when necessary)
Comfortable collaborating and communicating with other architects, engineers, and other diverse groups of stakeholders, sometimes needing to explain technical concepts in a way that's accessible to non-technical users
At least 5 years of experience writing SQL and working with databases in a Data Architecture, Analytics Engineering, or Data Engineering capacity
Experience or strong familiarity with BI tools such as Sigma or Looker
Familiarity with ETL/ELT concepts and best practices
Advanced proficiency with SQL
Intermediate or better proficiency with Python
Experience handling Personally Identifiable Information (PII) in a heavily regulated industry
Even better if you have:
Experience with sportsbetting
At least 3 years of experience using BigQuery
At least 2 years of experience using DBT for data transformations and architecture development
Our targeted compensation rate for this position is between $150,000 and $190,000, depending on experience, plus equity. Think your skills are exceptional and warrant higher pay? Apply anyway! If we agree, we're willing to negotiate.
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
Monthly raffle to win a sports ticket reimbursement of up to $500 (including game day snacks)
A $500 home office allowance
Underdog credits to play on our platform
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