Hasbro
Data Engineer
Boston, Massachusetts, USA · Junior · full-time
Sponsorship not specified$108k-$163kDetected 134 days ago
PythonCode ReviewGitSQLSnowflakeDatabricksAWSGCPAzureCloud PlatformsKafkaMachine LearningSparkAirflowdbtData EngineeringCommunication
Stay score
odds of building a lasting career here
54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- This is your chance to shape legendary play that lasts a lifetime.
- As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure.
- 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.
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.
- Support data quality monitoring and validation efforts, helping to ensure the accuracy, completeness, and reliability of data products.
- Collaborate with data scientists, analytics engineers, and business partners to understand data needs and deliver scalable solutions.
- Develop familiarity with data governance principles, including metadata management and data lineage.
- We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before.
- At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play.
- Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences.
- We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe.
- The Gathering, the rich storytelling of Dungeons & Dragons, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure.
Requirements
- Bachelor's or master's degree in Computer Science, Information Systems, or a related field, with equivalent experience accepted.
Nice to have
- Exposure to at least one scripting language (Python preferred) for data manipulation, automation, or pipeline development.
- Awareness of or interest in tools like DBT, Databricks, Airflow, Snowflake, or Kafka. experience with any is a plus.
Compensation
- Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
- Pay Range $108,300-$162,500 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility.
Company info
- In every pursuit our mission is to inspire a lifetime love of games.
- We are growing our Enterprise Data & Engineering team!
- 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.
- Contribute to code reviews, testing, and documentation as part of a culture of engineering excellence.
- At Wizards, we believe in the magic of diversity-great ideas come from unique perspectives.
- We are committed to building an inclusive, welcoming workplace where everyone belongs.
Equal opportunity
- Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status.
This listing is sourced directly from Hasbro's careers page and normalized into a canonical job model.