Engineering Manager, Data & ML

Underdog Fantasy

full-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States

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💰 $190,000 - $220,000 per year

SeniorLead

AWSAzureCloudGoogle Cloud PlatformKafkaPythonSparkSQLTerraform

About the role

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

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