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

  • Build, maintain, and optimize data pipelines and ETL/ELT workflows across cloud platforms such as Azure and AWS.
  • Write and tune complex SQL queries for analytics, reporting, and data modeling.
  • Participate in the design and implementation of data engineering infrastructure with guidance from senior engineers and technical leads.
  • Support data quality monitoring and validation to ensure accurate, complete, and reliable data products.
  • Contribute to code reviews, testing, and documentation.
  • Collaborate with data scientists, analytics engineers, and business partners to deliver scalable data solutions.
  • Assist in integrating AI and machine learning solutions into data workflows.
  • Develop familiarity with data governance practices, including metadata management and data lineage.

Requirements

  • 1–3 years of hands-on experience in data engineering, software engineering, or a related field, or equivalent demonstrated skills through internships, academic projects, or self-directed work.
  • Solid foundation in SQL with experience extracting, transforming, and analyzing data.
  • Exposure to at least one scripting language, with Python preferred.
  • Familiarity with cloud-based data ecosystems such as Azure, AWS, or GCP.
  • Understanding of core data engineering concepts, including ETL/ELT pipelines, data warehousing, and batch processing.
  • Interest in or familiarity with tools such as DBT, Databricks, Airflow, Snowflake, or Kafka.
  • Self-starter mindset with curiosity for solving unstructured data problems and working with large datasets.
  • Familiarity with or interest in AI-enabled development tools such as GitHub Copilot or Cursor.
  • Strong written and verbal communication skills.
  • 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 available as part of the compensation package.
  • Pay range of $108,300 to $162,500 USD.
  • Health and wellness programs.
  • Time off to recharge.
  • Financial well-being programs.
  • 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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