Data Quality Intern

Sonos•Boston, MA
•Hybrid

About The Position

Sonos is seeking an undergraduate student for an 11-week Data Quality internship/co-op from June 7 to August 20, 2027. The position is based in the Boston, Massachusetts office and requires working onsite at least four days per week, for 40 hours per week. The role focuses on investigating and improving data quality across multiple systems, collaborating with data engineers, and using AI tools to support data validation and automation. The intern will complete a capstone project presenting data quality findings, root causes, and resolutions to the Enablement & Analytics leadership team. No relocation or housing assistance is provided. The internship program includes orientation and onboarding, a business leadership speaker series, cohort social activities, meaningful projects, mentorship, and a collaborative, creative culture. Applicants must be 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.

Requirements

  • Currently working toward an undergraduate BS degree in Computer Science, Data Science, Information Systems, Statistics, Mathematics, or a related field.
  • Coursework or project experience with SQL and relational databases.
  • Curiosity about applying AI and automation tools to data quality and data engineering workflows.
  • Organizational, problem-solving, and attention-to-detail skills.
  • Comfort communicating findings to technical and non-technical audiences.
  • Currently enrolled in an undergraduate program at a college or university in a related field, with an expected graduation date of Winter 2027/2028 or Spring 2028/2029.
  • Available to participate in the full-time co-op program from June 7 to August 20, 2027.
  • Ability to work from the Boston office at least four days per week.
  • Authorized to work for any US employer both now and in the future.

Nice To Haves

  • Hands-on experience with Snowflake.
  • Experience with Claude or similar AI tools.
  • Familiarity with ETL/ELT processes, data pipelines, or data modeling concepts.
  • Familiarity with version control such as Git and collaborative development workflows.

Responsibilities

  • Write and run SQL queries in Snowflake to investigate, validate, and reconcile data across multiple systems.
  • Identify discrepancies and trace anomalies to their root causes.
  • Partner with data engineers to scope, prioritize, and implement fixes for identified data issues.
  • Document recurring data issues and their resolutions.
  • Use Claude and other AI tools to support data validation, anomaly detection, process automation, or quality reporting.
  • Compile a suite of data quality findings on one aspect of the business and present the issues, root causes, and resolutions to the Enablement & Analytics leadership team.

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 robust onboarding.
  • Speaker series with business leadership.
  • Social activities with the cohort.
  • Mentorship from industry leaders.
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