Data Engineering Intern

Sonos, Inc.

Seattle, WA3–5 yrs1h agovia LinkedIn

This job at a glance

Who can apply
3–5 years of experience
Must know
Product managementETLPythonSQLMachine learningGit
Work
On-site in Seattle · internship
Pay
Not stated by the employer.
Skill demand
SQL77%ETL76%Python74%Product management8%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 2, 2026 · still open

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About the Role

  • Contribute to the foundational pieces of our system, ensuring high-quality and reliable operation.
  • Collaborate with a team of industry-leading innovators across various disciplines, including hardware, product management, and user experience.
  • Work on a cross-functional team to design and build product features and capabilities.

Key Responsibilities

  • Build and maintain data 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 to support scalable and efficient data processing.
  • Ensure data quality and reliability by implementing data validation, monitoring, and automated testing to maintain accurate product datasets.
  • Develop datasets and analytics solutions that provide insights into product performance, user engagement, and customer experience.
  • Creating a semantic data layer to empower machine learning and AI to leverage data and diagnostics.

Requirements & Tech Stack

  • Currently enrolled in an undergraduate program at a College or University with a preferred field of study in Computer Science, Data Science, Computer Engineering or equivalent.
  • Demonstrated proficiency writing code with one or more of the following: SQL and Python.
  • Familiarity with version control such as Git.
  • Understanding of the data development lifecycle and continuous integration and deployment techniques.

Preferred Qualifications

  • Familiarity with one or more of the following technologies:
  • Data: Tableau, Snowflake, DBT or similar other data tools.
  • Experience with AWS Cloud Services.
  • Experience with CI/CD build and release pipelines: Github Actions, Jenkins or similar.

Program Qualifications

  • Currently enrolled in an undergraduate program at a College or University, with expected graduation date of Winter 2027/2028 or Spring 2028/2029.
  • Available to participate in our internship program from June 7 - August 20, 2026.
  • Ability to work out of our Seattle office a minimum 4 days per week (40 hours per week).
  • Authorized to work for any US employer, both now and in the future.

Internship Duration: 11 weeks

Location: Seattle, WA

No relocation or housing assistance provided.

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