Data Engineer Co-Op

Bose Corporation•Atlanta, GA

1d•$21 - $29•Onsite

About The Position

At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. We're looking for students to join our Co-Op Program who are obsessively curious about 'what's next'. You'll get hands on experience with our products and learn from the best of the best in the business. You will immerse yourself into Bose for 6 months and get the opportunity to grow the skills your learned in the classroom with hands on work experience. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career! Opportunities don't stop at your day-to-day work. While you're getting an in depth look at your area of expertise, we'll expose you to other areas of the company. Our Co-Ops are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You'll network with other Co-Ops and colleagues to grow your network for the future!

Requirements

AWS Serverless solutions
Python
SQL coding
learning new technologies or programming languages

Nice To Haves

Snowflake
databricks

Responsibilities

Continuing the full life cycle management of data pipelines: designing, developing, and providing production support for data pipelines that support customer experiences on connected devices, web applications, and mobile applications.
Staying up to date on relevant technologies, participating in user groups, understanding trends, and identifying opportunities to ensure the adoption of the best techniques and tools. For instance, we are currently utilizing Snowflake, databricks, and AWS Serverless technologies.
Collaborating with AWS Cloud Architects to optimize and evaluate scalable, serverless solutions, becoming the Subject Matter Expert (SME) for AWS solutions.
Working in multi-functional agile teams to continuously experiment, iterate, and deliver on new data product objectives.