At Underdog, we make sports more fun.
Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days.
We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app.
Underdog isn’t for everyone. One of our core values is give a sh*t. The people who win here are the ones who care, push, and perform. If that’s you, come join us.
Winning as an Underdog is more fun.
As a Senior Data Engineer on the Data Engineering team at Underdog, you’ll focus on building robust data pipelines that empower cross-functional stakeholders including Marketing, Product, Analytics, and Data Science with reliable, actionable data. You’ll work closely with these teams to understand their data needs and deliver scalable solutions that support their top initiatives and priorities. This role blends hands-on pipeline development with shaping the future of Underdog’s evolving data platform.
About the role- You’ll be developing data pipelines and maintaining production quality datasets that support Underdog’s analytics, data science, and marketing teams
- Design, build, and optimize scalable data platform infrastructure to support batch and real-time data processing and storage in the cloud
- Collaborate with analytics, data scientists, engineers, and other business stakeholders to understand data requirements and translate them into scalable technical solutions
- Implement and maintain monitoring, alerting, and logging mechanisms to ensure the health and performance of the pipelines and platforms
- Perform validation and build data quality checks on production datasets and ensure there are minimal data quality issues
- Communicate continuously about progress, blockers, and resolution steps to all relevant stakeholders
- 5+ years of experience building scalable data pipelines in a cloud-native environment (AWS, GCP, or Azure)
- 3+ years of experience using dbt, Flink, or Spark for data transformations and BI tools such as Sigma or Looker
- Advanced proficiency with Python and SQL
- Hands-on experience with streaming data infrastructure such as Apache Kafka, Apache Flink, GCP Datastream or AWS Kinesis
- Experience with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK)
- Strong ownership mindset; you’re focused on delivering results in a fast-paced, entrepreneurial environment
- A proactive problem solver who finds and implements opportunities to improve systems and processes
- Excellent communication skills, with the ability to influence and collaborate effectively across teams
- Strong interest in sports
- Prior experience in the sports betting industry
- Experience working highly regulated industries and familiarity with data privacy and compliance frameworks (e.g. GDPR, CCPA)
- Knowledge of ML concepts, with some experience in building ML platforms
Our target starting base salary range for this position is between $160,000 and $240,000, plus pre-IPO equity. Our comp range reflects the full scale of expected compensation for this role. Offers are calibrated based on experience, skills, impact, and geographies. Most new hires land in the lower half of the band, with the opportunity to advance toward the upper end over time.
- 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
- Home office stipend
- 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.
Top Skills
Similar Jobs
.png)
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
