Data Engineering Intern (Seattle)

Sonos • Seattle, WA

5d • Hybrid

About The Position

Sonos is seeking a student for an 11-week Data Engineering internship, scheduled for June 7 through August 20, 2026. The internship is a 40-hour-per-week position requiring at least four days per week onsite at the Seattle office. No relocation or housing assistance is available.

The intern will contribute to foundational systems supporting high-quality, reliable data operations and collaborate with a cross-functional team, including hardware, product management, and user experience. The work includes building product features and data capabilities, developing data pipelines and ETL workflows, maintaining data quality, creating analytics datasets, and building a semantic data layer for machine learning and AI applications.

The internship program also offers orientation and onboarding, leadership speaker sessions, social and team-building activities, meaningful project work, mentorship, and a collaborative, creative culture. Applicants must be authorized to work for any U.S. employer now and in the future; Sonos is unable to sponsor or take over sponsorship of an employment visa for this role.

Requirements

• Currently enrolled in an undergraduate program at a college or university.
• Expected graduation date of Winter 2027/2028 or Spring 2028/2029.
• Demonstrated proficiency writing code in SQL and/or Python.
• Familiarity with version control such as Git.
• Understanding of the data development lifecycle and continuous integration and deployment techniques.
• Available to participate in the internship program from June to August.
• Able to work from the Seattle office at least four days per week.
• Authorized to work for any U.S. employer now and in the future.

Nice To Haves

• Preferred field of study in Computer Science, Data Science, Computer Engineering, or an equivalent field.
• Familiarity with Tableau, Snowflake, DBT, or similar data tools.
• Experience with AWS Cloud Services.
• Experience with CI/CD build and release pipelines such as GitHub Actions or Jenkins.

Responsibilities

• Build and maintain pipelines to collect, transform, and process product usage, device performance, and customer interaction data.
• Develop and optimize ETL workflows using Python, SQL, and cloud-based data technologies.
• Implement data validation, monitoring, and automated testing to maintain data quality and reliability.
• Develop datasets and analytics solutions that provide insights into product performance, user engagement, and customer experience.
• Create a semantic data layer to enable machine learning and AI to use data and diagnostics.
• Collaborate with a cross-functional team to design and build product features and capabilities.

Benefits

• Medical, dental, and vision insurance after 90 days of continuous employment.
• Eligibility for the 401(k) plan with company matching after 1,000 hours of service or three years averaging 500 hours of service per year, whichever comes first.
• 80 hours of sick time upon hire, refreshed annually.
• Up to 12 paid holidays per calendar year.
• Employee discount program and Sonos Radio HD.
• Orientation and onboarding, leadership speaker series, social and team-building activities, meaningful project work, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed