DraftKings - Dedham, MA

posted about 2 months ago

Full-time - Entry Level
Dedham, MA
Amusement, Gambling, and Recreation Industries

About the position

As a Data Engineer on our Customer Data Team, you will be at the forefront of employing cutting-edge data methodologies and revolutionizing the industry by supporting products that shape the future of gaming experiences. Your role will involve designing processes that connect, unravel, and transform data from complex source systems to generate an easily consumable and performant financial and regulatory data model. You will work closely with product owners and tech leads to implement high-quality, production-grade ETL processes that support critical financial reporting. In this position, you will partner with our Analytics and Reporting teams to build tools that provide actionable insights into key business metrics. You will be responsible for designing, developing, and maintaining complex data pipelines, ensuring efficient and reliable data orchestration and workflow management. Additionally, you will mentor, guide, and advise on best practices for delivering performant solutions, driving an organizational focus on data quality, performance analysis, optimization, and tuning. This role offers the opportunity to be exposed to all verticals of our business and play a key part in our most critical data deliverables. Your work will create the next generation of immersive, data-powered gaming experiences that captivate audiences worldwide. You will face some of the toughest but most rewarding challenges of your career, and your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

Responsibilities

  • Design processes that connect, unravel, and transform data from complex source systems.
  • Generate an easily consumable and performant financial and regulatory data model.
  • Implement high-quality, production-grade ETL processes supporting critical financial reporting.
  • Partner with Analytics and Reporting teams to build tools that provide actionable insights into key business metrics.
  • Design, develop, and maintain complex data pipelines, ensuring efficient and reliable data orchestration and workflow management.
  • Mentor, guide, and advise on best practices for delivering performant solutions.
  • Drive an organizational focus on data quality, performance analysis, optimization, and tuning.

Requirements

  • At least 1 year of hands-on experience with Data or Analytics Engineering, including Data Warehousing, Delivery, and Operations.
  • Experience working in Snowflake or a similar Data Warehousing platform is required.
  • Expertise in building and editing SQL queries to apply intricate business logic.
  • Ability to translate stakeholder requirements into efficient data transformation processes to drive critical business decisions and financial reporting.
  • Proficiency in dimensional modeling concepts, including star and flattened schemas.

Nice-to-haves

  • Experience with data reporting tools (e.g., Tableau).
  • Experience with data cataloging tools (e.g., Alation).
  • Experience with data logging/monitoring tools (e.g., Datadog).
  • Understanding of version control using Git to collaborate on codebases.

Benefits

  • Bonus
  • Equity
  • Comprehensive benefits package
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