Engineering Manager, Data & ML

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September 20

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Underdog Fantasy

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Gaming • Sports • B2C

Underdog Fantasy is a company specializing in fantasy sports and sports betting. Despite the technical issue mentioned in the text, it provides a platform where users can engage in fantasy sports contests, draft teams, and potentially win prizes based on the performance of real-world athletes. The company's focus is on providing a fun and competitive experience for sports fans who want to test their skills and luck in fantasy leagues and sports-related betting.

201 - 500 employees

🎮 Gaming

⚽ Sports

👥 B2C

📋 Description

• Roadmapping and technically architecting a scalable data and machine learning platform • Establish best practices that achieve operational excellence in data availability, data quality, and data observability • Collaborate with the data science, data analytics, and product teams to deliver high-impact data assets in a fast paced environment • Manage relevant cloud infrastructure for hosting big data applications and ML workloads such as SageMaker, Kubeflow, or Vertex AI • Design and implement data pipelines that are optimized for scale and data quality • 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, documentation, and testing are in place to safeguard the integrity and availability of data

🎯 Requirements

• At least 8+ years of experience in data engineering, data infrastructure, and/or machine learning roles with experience architecting near real time big data systems • 2+ years of experience managing 5+ 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 and machine learning technologies such as Spark, Iceberg, Kafka, and SageMaker • Demonstrates strong ownership and thrives in a fast paced environment, consistently driving initiatives forward and delivering results with urgency • Excellent leadership and communication skills with ability to influence and collaborate with stakeholders • Advanced degree in Computer Science, Data Science, or a related field • Expert proficiency with Python and SQL • Expert proficiency with Terraform or other Infrastructure as Code (IAC) tools • Strong interest in sports and/or sports betting (preferred) • Experience building ML systems like recommendation engines (preferred) • This position may require sports betting licensure based on certain state regulations

🏖️ Benefits

• 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 • Target equity (plus target equity mentioned in listing)