Hasbro

Hasbro

Hasbro (NASDAQ: HAS) is a global play and entertainment company committed to creating the world's best play and entertainment experiences. They offer a wide range of products and services including toys, games, consumer products, television, movies, di...

Consumer Goods
5K-10K
Founded 1923
$27M raised

Description

  • Design, build, and optimize scalable data pipelines, transformations, and data models that support analytics and data products.
  • Own end-to-end delivery of data engineering initiatives from technical design and planning through production rollout and ongoing support.
  • Write and tune complex SQL queries and Python-based pipeline code for analytics, reporting, and data modeling needs.
  • Drive engineering best practices including version control, CI/CD, automated testing, observability, and documentation.
  • Lead data architecture and design decisions for new and evolving data products to ensure solutions are scalable, governed, and performant.
  • Collaborate with data scientists, analytics engineers, and business partners to deliver high-quality, consumable data products.
  • Support data quality monitoring and validation to ensure accuracy, completeness, and reliability across data products.
  • Develop and apply data governance practices, including metadata management and data lineage.
  • Contribute to code reviews, technical documentation, and a culture of engineering excellence.

Requirements

  • 4–7 years of hands-on experience in data engineering or a closely related field.
  • Strong hands-on experience with Databricks and cloud data platforms such as Azure and/or AWS.
  • Deep proficiency in SQL, data modeling, and Python for data pipeline development, transformation logic, and automation.
  • Solid experience with version control using GitHub or a comparable platform, including branching strategies, pull requests, and code review workflows.
  • Experience with DBT is a strong plus, especially for testing, modular transformations, and maintaining data models.
  • Proven ability to deliver end-to-end data products from build through production deployment and ongoing support.
  • Experience with code-first orchestration tools such as Databricks Asset Bundles, Airflow, or similar; familiarity with Databricks Asset Bundles is a plus but not required.
  • Familiarity with or curiosity about AI-enabled development tools such as Claude Code, Codex, Cursor, or similar coding assistants.
  • Working knowledge of data governance fundamentals, including data quality, metadata, and lineage.
  • Understanding of CI/CD principles and automated testing in data pipeline development.
  • Strong written and verbal communication skills across technical and non-technical teams.
  • Bachelor’s or master’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.

Benefits

  • Annual and long-term incentives may be included as part of the total compensation package.
  • Pay range of $124,500–$186,800 USD.
  • Health and wellness programs.
  • Time off to recharge.
  • Financial well-being benefits.
  • Life and family support.
  • Volunteer and community initiatives.
  • Learning and development opportunities.
  • Exclusive perks.

Interested in this position?

Apply directly on the company website

Apply Now

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