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Bose Corporation

Data Analytics Engineer – Co-op

Bose Corporation

. Assist in developing and maintaining business-critical data pipelines using SQL and Python .

Posted 10/7/2026full-timeUnited StatesEntry Level💰 $29 - $37 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in developing and maintaining data pipelines using SQL and Python, with a strong focus on data modeling, wrangling, and governance. Capable of collaborating with cross-functional teams to deliver actionable insights through dashboards and reports.

Highest-signal resume keywords
SQLPythonData Pipeline DevelopmentAWSSnowflake

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingData WranglingDashboard DevelopmentData GovernanceData Quality Assurance
Soft Skills
Detail-OrientedPassionate About Data
Industry Keywords
Data Analytics EngineeringSemantic LayersBusiness InsightsData Security

Tech Stack

Tools & technologies
AWSPythonSQL

About the role

Key responsibilities & impact
  • Assist in developing and maintaining business-critical data pipelines using SQL and Python
  • Support the design and implementation of logical and physical data models
  • Conduct data wrangling and preprocessing to clean and structure datasets
  • Help build and maintain semantic layers for dashboard development and data science
  • Contribute to tools and techniques that improve data analytics engineering efficiency
  • Collaborate with cross-functional teams to translate business requirements into data solutions
  • Assist in creating dashboards and reports with actionable business insights
  • Learn and apply best practices for data governance, security, and quality assurance

Requirements

What you’ll need
  • Fully available January 11–June 25, 2027
  • Currently enrolled in university
  • Willing to relocate independently to Framingham, Massachusetts
  • Experience or willingness to work with SQL and Python
  • Ability to work with AWS and Snowflake
  • Interest in data pipeline development, data modeling, data wrangling, semantic layers, dashboards, reporting, data governance, security, and quality assurance
  • Detail-oriented and passionate about leveraging data for decision-making

Benefits

Comp & perks
  • Bonus programs
  • Comprehensive health and welfare benefits
  • 401(k) plan
  • Exclusive perks designed to support wellbeing
  • Generous employee discount
  • Compensation tailored to skills, experience, education, and location