[Hiring] Data Engineer REMOTE USA
Position: Data Engineer
Date Posted: 02 February 2026
Industry: Technology / Sports Technology / Data Engineering
Employment Type: Full Time
Experience: 3+ years of experience in data engineering or related roles
Qualification: Estimated Qualification like Bachelor Degree holder, Diploma/Degree/Certificate in Computer Science, Data Engineering, or related field
Salary: $135,000 – $165,000
Location: United States, REMOTE
Company: Underdog
Description:
Underdog is building products that make sports more exciting and accessible for fans everywhere. As one of the fastest-growing sports technology companies, Underdog has developed multiple games and platforms across fantasy sports, sports betting, and prediction markets, all delivered through a seamless and intuitive app experience.
As a Data Engineer, you will be a key contributor to the Data Engineering team, focusing on building and maintaining reliable, scalable data pipelines that power analytics, marketing, product, and data science initiatives. This role combines hands-on technical work with the opportunity to shape the future of Underdog’s evolving data platform.
Key Responsibilities:
• Develop and maintain production-grade data pipelines supporting analytics, marketing, and data science teams
• Design, build, and optimize scalable cloud-based infrastructure for batch and real-time data processing
• Partner closely with analytics, engineers, data scientists, and business stakeholders to translate data needs into scalable solutions
• Implement monitoring, alerting, and logging to ensure pipeline reliability and performance
• Perform data validation and establish strong data quality checks on production datasets
• Communicate progress, risks, blockers, and resolutions clearly with cross-functional teams
Who You Are:
• 3+ years of experience building scalable data pipelines in cloud-native environments such as AWS, GCP, or Azure
• 2+ years of experience using tools like dbt, Spark, or Flink, along with BI platforms such as Looker or Sigma
• Advanced proficiency in Python and SQL
• Experience with streaming data technologies such as Apache Kafka, AWS Kinesis, or similar platforms
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools like Terraform or CDK
• Strong ownership mindset with the ability to thrive in a fast-paced, high-growth environment
• Excellent communication and collaboration skills across technical and non-technical teams
Nice to Have:
• Strong interest in sports or prior experience in sports-related industries
• Background in sports betting or other regulated industries
• Knowledge of data privacy and compliance frameworks such as GDPR or CCPA
• Exposure to machine learning concepts or ML platform development
What We Offer:
• Unlimited paid time off with flexibility around peak sports seasons
• 16 weeks of fully paid parental leave
• Home office stipend
• Remote-first culture with regular in-person offsites and team gatherings
• Competitive benefits including health, dental, vision plans, FSA, and 5% 401(k) match
This role may require sports betting licensure depending on state regulations. Underdog is an equal opportunity employer and values diversity across all teams.
Disclaimer: The job details above are structured for clarity and based on publicly available content from recruiters/Company pages. All rights remain with the original source; names may be withheld for confidentiality. We are not involved in the hiring process.
