Director, Data Engineering

May 8, 2024

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Logo of Underdog Fantasy

Underdog Fantasy

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.

sports • gaming • fantasy

📋 Description

• As a Director of Data Engineering, you’ll be responsible for roadmapping and implementing a vision for a scalable analytics data platform • Establish best practices that achieve operational excellence in data availability, data quality, and data privacy • Collaborate with the data science and data analytics teams to deliver high-impact data assets • Design and implement data pipelines and transformation workflows that are optimized for flexibility and data quality, leveraging best-in-class tools for transformation, observability, and testing • 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, observability, and testing are in place to safeguard the integrity and availability of data

🎯 Requirements

• At least 12+ years of experience in data engineering, data warehousing, and/or business intelligence roles • Experience scaling and managing 10+ 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 warehousing and machine learning such as Kafka, DBT, Databricks • Excellent leadership and communication skills with ability to influence and collaborate with stakeholders • Advanced degree in Computer Science, Data Science, or a related field • Advanced proficiency with Python, Java, or other OOP languages (at least 2) • Advanced proficiency with SQL

🏖️ 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

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