Data Engineering Intern (Seattle)

Sonos • Seattle, WA

6d • Onsite

About The Position

Sonos is seeking undergraduate students for an 11-week internship program exploring the intersection of creativity, technology, and sound. The Data Engineering Intern will contribute to foundational systems and their reliable operation, collaborating with a cross-functional team that includes hardware, product management, and user experience. The internship is scheduled for June 7 through August 20, 2026, and is a 40-hour-per-week position requiring at least four days per week onsite at the Seattle office. Sonos does not provide relocation or housing assistance for this position.

The intern will design and build product features and capabilities, including data pipelines, ETL workflows, quality and monitoring systems, analytical datasets, and a semantic data layer for machine learning and AI. The internship program also includes onboarding, leadership speaker sessions, cohort activities, meaningful projects, mentorship, and a collaborative creative culture.

Requirements

• Currently enrolled in an undergraduate program at a college or university; preferred fields include Computer Science, Data Science, Computer Engineering, or an equivalent field.
• 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.
• Expected graduation date of Winter 2027/2028 or Spring 2028/2029.
• 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 US employer now and in the future; Sonos cannot sponsor or take over sponsorship of an employment visa for this role.

Nice To Haves

• Familiarity with data tools such as Tableau, Snowflake, or DBT.
• 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.
• Work 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.
• Sonos Radio HD at no cost.

What This Job Offers

• Career Level: Intern