
Digital sports entertainment and gaming company
Data Engineer
At Draft Kings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
As a Data Engineer, you’ll support the development and reliability of business-critical reports and dashboards that power decision-making across Draft Kings. You’ll work closely with teammates across the Data Engineering, Analytics, TPM, QA and Ops teams to create, maintain, and improve scalable BI solutions. Whether it’s automating workflows, refining reporting logic, or supporting on-call operations, you’ll play a key role in ensuring our BI ecosystem remains accurate, efficient, and user-friendly. This is an ideal role for someone early in their data career who’s excited to solve real business problems through data.
What you’ll do as a Data Engineer
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Build and maintain reports and dashboards that support day-to-day decision-making across the business
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Participate in an on-call rotation to ensure the reliability of BI services and dashboards
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Collaborate with Data Engineering, Analytics, QA and Ops teams to ensure reporting consistency, documentation, and data quality
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Identify and implement opportunities to automate reports, reduce manual work, and improve speed to insight
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Troubleshoot reporting issues and data anomalies in coordination with engineering partners
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Support our data governance and data quality standards within the BI environment
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Enhance reporting workflows and performance through continuous process improvement
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Translate stakeholder needs into scalable BI solutions using modern reporting tools
What you’ll bring
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At least 1-3 years of experience in data engineering, BI development, analytics, or reporting
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Proficiency with reporting or BI tools such as Sigma, Tableau, Looker, or Power BI
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Hands-on experience with cloud data platforms, particularly Snowflake
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Strong SQL skills and a solid understanding of data structures used in reporting
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Interest in automation, scripting, and workflow tools to improve reporting efficiency
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Comfort supporting business-critical reporting needs as part of an on-call rotation
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Strong attention to detail, problem-solving mindset, and communication skills
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Curiosity about modern data technologies and AI tools to improve BI infrastructure
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Fluency in English
Join Our Team
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.
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About DraftKings

DraftKings
PublicDraftKings is a digital sports entertainment and gaming company that operates daily fantasy sports contests and online sportsbook betting. The company offers mobile and web-based platforms for users to participate in fantasy sports and place sports wagers.
1,001-5,000
Employees
Boston
Headquarters
$12.5B
Valuation
Reviews
10 reviews
3.0
10 reviews
Work-life balance
3.2
Compensation
3.8
Culture
2.8
Career
2.5
Management
2.1
45%
Recommend to a friend
Pros
Good compensation and benefits
Flexible working arrangements
Fun work environment and products
Cons
Poor management and leadership issues
Lack of communication
Limited growth opportunities
Salary Ranges
55 data points
Mid/L4
Senior/L5
Mid/L4 · Analytics Manager, Gaming
1 reports
$143,000
total per year
Base
$110,000
Stock
-
Bonus
-
$143,000
$143,000
Interview experience
5 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Final Interview
6
Offer Decision
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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