Data Engineer: Build Scalable Data Pipelines & Analytics

Hasbro, Inc.; Boston (MA); On-site; USD 108,300 - 162,500; Full time

Benefits offered by this job

Time Off to Recharge

Financial Well-being

Life & Family Support

Volunteer and Community Initiatives

Learning & Development

Job summary

Hasbro, Inc. in Boston seeks a Data Engineer to join the Enterprise Data & Engineering team. You will build and optimize data pipelines, work with cloud platforms, and collaborate with engineers, data scientists, and analysts to enable data-driven decision making.

You should have 1–3 years in data engineering or related field, strong SQL, Python, and familiarity with Azure/AWS/GCP. The role offers learning opportunities and exposure to modern tooling for enterprise-scale initiatives.

Qualifications

• Strong SQL skills for data extraction, transformation, and analysis.
• Experience building and optimizing ETL/ELT pipelines.
• Familiarity with cloud data ecosystems and data warehousing concepts.
• Exposure to or interest in modern data tooling (DBT, Databricks, Airflow).

Responsibilities

• Build, maintain, and optimize data pipelines and ETL/ELT workflows across cloud platforms.
• Write and tune SQL queries to support analytics and reporting.
• Collaborate with engineers, data scientists, and analysts to deliver scalable data solutions.
• Assist in data governance, quality, and documentation for data products.

Skills

SQL

Python

Cloud (Azure/AWS/GCP)

Data pipelines

Communication

Education

Bachelor’s or Master’s in CS/IS or related

Tools

DBT

Databricks

Airflow

Snowflake

Job description

Hasbro, Inc. in Boston seeks a Data Engineer to join the Enterprise Data & Engineering team. You will build and optimize data pipelines, work with cloud platforms, and collaborate with engineers, data scientists, and analysts to enable data-driven decision making.

You should have 1–3 years in data engineering or related field, strong SQL, Python, and familiarity with Azure/AWS/GCP. The role offers learning opportunities and exposure to modern tooling for enterprise-scale initiatives.