Senior Data Engineer
Sportsbook
Updated on 4/4/2024
Underdog Fantasy

201-500 employees

Offers approachable sports contests and games online
Company Overview
Underdog Fantasy, a rapidly expanding sports company, is distinguished by its commitment to delivering enjoyable and accessible contests and games, crafted by a team of seasoned industry professionals. The company's competitive edge lies in its user-centric approach, striving to enhance the overall experience for its passionate user base. As a leader in its industry, Underdog Fantasy is reshaping the sports gaming landscape with its unique blend of fun and approachability.
B2C

Company Stage

Series B

Total Funding

$123.4M

Founded

2020

Headquarters

Brooklyn, New York

Growth & Insights
Headcount

6 month growth

13%

1 year growth

77%

2 year growth

335%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
BigQuery
SQL
JIRA
Looker
Data Analysis
CategoriesNew
Data Engineering
Data & Analytics
Requirements
  • At least 5 years of experience writing SQL and working with databases in a Data Architecture, Analytics Engineering, or Data Engineering capacity
  • Experience or strong familiarity with BI tools such as Sigma or Looker
  • Familiarity with ETL/ELT concepts and best practices
  • Advanced proficiency with SQL
  • Intermediate or better proficiency with Python
  • Experience handling Personally Identifiable Information (PII) in a heavily regulated industry
  • Experience with sportsbetting
  • At least 3 years of experience using BigQuery
  • At least 2 years of experience using DBT for data transformations and architecture development
Responsibilities
  • Designing models in DBT for the reporting layer, focused on the Sportsbook product
  • Working cross-functionally with Data Scientists, Product Managers, and other stakeholders to understand Sportsbook data needs
  • Creating and maintaining tests and documentation about the reporting layer inside the DBT models
  • Performing validation and data integrity checks on new datasets and load procedures
  • Staying abreast of all of Underdog's Sportsbook data models, processes, business rules, contest rules, and product functionality
  • Assisting Data Scientists in developing analytics datasets to meet the needs of the business
  • Meeting with stakeholders to discuss existing and upcoming data projects and deliverables
  • Documenting and reporting issues with source data and following up with owners on resolution
  • Using Jira proactively to manage tasks and deliverables
  • Presenting work at team lunch-and-learn meetings
  • Proactively looking for ways to continuously improve architecture in the reporting layer and team processes