Dive into the world of DraftKings to understand the systems and data structures that support our products
Work with engineering, product, and business teams to design data solutions that meet application and reporting requirements
Design, build, and maintain robust data pipelines and models that power enterprise-level decision-making and cross-domain data products
Establish and enforce best practices around data quality, testing frameworks, and system monitoring
Drive continuous improvement in the performance and reliability of large-scale data processing workflows
Write, maintain, and optimize SQL code with cloud MPP data warehouse platforms (e.g. Snowflake)

Requirements

4+ years of experience in Data Engineering or a closely related field
Advanced SQL skills and deep experience implementing complex business logic and performance-optimized transformations at scale
Expertise with modern cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and experience managing large, distributed data environments
Strong understanding of data architecture and dimensional modeling principles, with a track record of designing enterprise-grade schemas
Proven ability to lead projects through agile software development lifecycles and mentor junior team members
Proficiency with version control systems (e.g., Git) and collaborative engineering practices.
Ability to quickly learn industry and DraftKings-specific domain knowledge and leverage it to deliver solutions for critical business needs.

Benefits

bonus
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLdata engineeringdata pipelinesdata modelsdata qualitydata architecturedimensional modelingagile software developmentperformance optimizationbusiness logic

Soft skills

leadershipmentoringcollaborationcontinuous improvementproblem-solving