Lead Data Engineer

Hasbro • Boston, MA

15d

About The Position

Hasbro is a leading games, IP and toy company whose mission is to create joy and community through the magic of play. With 165 years of expertise, Hasbro delivers groundbreaking play experiences and reaches more than 1 billion fans annually around the world, through physical and digital games, video games, toys, licensed consumer products, location-based entertainment, film, TV and more. Through its franchise-first approach, Hasbro unlocks value from both new and legacy IP, including MAGIC: THE GATHERING, DUNGEONS & DRAGONS, MONOPOLY, HASBRO GAMES, NERF, TRANSFORMERS, PLAY-DOH and PEPPA PIG, as well as premier partner brands. Powered by its portfolio of thousands of iconic marks and a diversified network of partners and subsidiary studios, Hasbro brings fans together wherever they are, from tabletop to screen. For more than a decade, Hasbro has been consistently recognized for its corporate citizenship, including being named one of the 100 Best Corporate Citizens by 3BL Media, a 2025 JUST Capital Industry Leader, one of the 50 Most Community-Minded Companies in the U.S. by the Civic 50, and a Brand that Matters by Fast Company. We are expanding our Data Engineering team! We are looking for someone to help drive how data enables our products, entertainment, and consumer experiences. This is a high-impact role for a practical technical leader who enjoys building scalable data products while mentoring engineers and influencing how the team delivers. The focus of this role is to deliver scalable, reliable, and trusted data products that support analytics, data science, and business decision-making across the enterprise. You’ll help guide the development of production-grade data workflows and transformations, ensuring data products are high quality, well-governed, performant, and easy for teams across the organization to use.

Requirements

• Experience building and delivering data engineering capabilities while leading or mentoring data engineers.
• Strong hands-on expertise with Databricks and DBT as well as cloud data platforms such as Azure and/or AWS.
• Deep proficiency in SQL, data modeling, and Python (or similar language).
• Proven ability to deliver end-to-end data products, from build through production deployment and support.
• Working knowledge of data governance fundamentals, including data quality, metadata, and lineage.
• Strong communication skills and the ability to influence technical direction across diverse partners.

Responsibilities

• Lead and develop a team of data engineers, modeling engineering excellence, ownership, and continuous improvement through day-to-day work.
• Design, build, and optimize scalable data pipelines, transformations, and data models that underpin analytics and data products.
• Own end-to-end delivery of data engineering initiatives, from technical design and planning through production rollout and ongoing support.
• Provide hands-on technical leadership through code contributions, architectural decisions, and the adoption of engineering standard methodologies such as CI/CD, automated testing, observability, and documentation.
• Partner closely with product managers, data scientists, analysts, and business partners to deliver high-quality, consumable data products.
• Serve as a technical leader in agile delivery, supporting sprint planning, backlog refinement, estimation, and cross-team coordination.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees