Data Engineer

HasbroBoston, MA
$108,300 - $162,500

About The Position

We are growing our Enterprise Data & Engineering team! Do you have a passion for data and a drive to build things that matter? We’re looking for a Data Engineer to join our high-visibility Enterprise Data & Engineering team, helping Hasbro better reach consumers with compelling products and entertainment. This is a great opportunity for an emerging engineer eager to grow their skills and make a real impact in a collaborative, data-driven environment. In this role, you will contribute to the development and optimization of data pipelines, transformations, and analytics infrastructure that power decision-making across the business. You’ll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience with modern cloud data platforms and growing into the kind of engineer who can one day lead complex, enterprise-scale data initiatives. We value diverse perspectives and welcome candidates who bring different experiences and approaches to solving data challenges.

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; experience writing queries to extract, transform, and analyze data.
  • Exposure to at least one scripting language (Python preferred) for data manipulation, automation, or pipeline development.
  • Familiarity with cloud-based data ecosystems (Azure, AWS, or GCP) and a curiosity to deepen that knowledge.
  • Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch processing.
  • A self-starter mindset with genuine curiosity for solving unstructured data problems and working with large datasets.
  • Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor, or similar coding assistants) and an interest in leveraging them to write better code, accelerate development, and improve engineering workflows.
  • Strong written and verbal communication skills, with the ability to work effectively across technical and non-technical teams.
  • Bachelor’s or master’s degree in Computer Science, Information Systems, or a related field, with equivalent experience accepted.

Nice To Haves

  • Awareness of or interest in tools like DBT, Databricks, Airflow, Snowflake, or Kafka — experience with any is a plus.

Responsibilities

  • Build, maintain, and optimize data pipelines and ETL/ELT workflows that move and transform data across cloud platforms including Azure and AWS.
  • Write and tune complex SQL queries to support analytics, reporting, and data modeling needs.
  • Participate in the design and implementation of data engineering infrastructure, learning standards from senior engineers and technical leads.
  • Support data quality monitoring and validation efforts, helping to ensure the accuracy, completeness, and reliability of data products.
  • Contribute to code reviews, testing, and documentation as part of a culture of engineering excellence.
  • Collaborate with data scientists, analytics engineers, and business partners to understand data needs and deliver scalable solutions.
  • Assist in the integration of AI and machine learning solutions into data workflows to improve efficiency and elevate the consumer experience.
  • Develop familiarity with data governance principles, including metadata management and data lineage.

Benefits

  • Medical, Dental, and Vision Insurance
  • Paid Vacation & Holidays
  • Generous 401(k) Match
  • Paid Parental Leave
  • Volunteer & Employee Giving Programs
  • Tuition Reimbursement
  • Product Discounts & More!
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service