Remote Senior Data Engineer

Summary

Join Underdog as a Senior Data Engineer on the Transformation team to design and execute scalable reporting models that minimize technical debt, make efficient use of BQ resources, keep data fresh, adhere to Underdog best practices, and allow stakeholders to access the data they need.

Requirements

• Curious and inquisitive nature (you want to know how things work and you ask good questions)
• Proactive problem-solver (you notice and act on problems we already have; you anticipate problems we might have in the future and try to solve for those now)
• Strong attention to detail (you have the ability to get 'in the weeds' to investigate, understand, and resolve data issues)
• Actively accountable (you own and learn from your mistakes; you care about getting things right; you actively solicit feedback)
• Comfortable working in a fast-paced environment
• Productive and engaged with minimal oversight
• At least 5 years of experience writing SQL and working with databases in a Data Architecture, Analytics Engineering, or Data Engineering capacity
• At least 3 years of experience using BigQuery
• At least 2 years of experience using DBT for data transformations and architecture development
• 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

Responsibilities

• Design models in DBT for the development of Underdog's reporting layer
• Work cross-functionally with Data Scientists, Product Managers, and other stakeholders to understand data needs and design performant, flexible, and low-technical-debt solutions
• Create and maintain tests and documentation about the reporting layer inside the DBT models
• Perform validation and data integrity checks on new datasets and load procedures before delivery to stakeholders, investigating and resolving data discrepancies and escalating to the engineering team or other teams as needed
• Stay abreast of all of Underdog's Fantasy data models, processes, business rules, contest rules, and product functionality, including compliance and regulatory considerations; plan/execute needed changes in the reporting layer
• Assist Data Scientists in developing analytics datasets to meet the needs of the business
• Meet with stakeholders as needed to discuss existing and upcoming data projects and deliverables; stakeholders include, but are not limited to: Product Managers, Engineers, other members of the Data team, third-party vendors, and other team members throughout the organization who are involved in data projects
• Communicate continuously about progress, blockers, and anything else related to assigned tasks
• Document and report issues with source data and follow up with owners on resolution/path forward
• Use Jira proactively to manage tasks and deliverables; participate in regular sprint planning and retrospective meetings
• Periodically present your work at team lunch-and-learn meetings
• Proactively look for ways we can continuously improve our architecture in the reporting layer, as well as our team processes

Preferred Qualifications

• Interest in sports
• Experience with fantasy sports or sportsbetting

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
• $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