Data Engineering Intern

Sono Bello•Bellevue, WA

16h•$20 - $20•Hybrid

About The Position

Sono Bello is America's top cosmetic surgery specialist, with 185+ board-certified surgeons who have performed over 300,000 laser liposuction and body contouring procedures. A career at Sono Bello means being part of a dynamic and high-energy work environment where every team member can make a difference. We love what we do, and it shows! We believe everyone deserves to have their best body today and pursue their best life now. This position is based on-site in the Greater Seattle Area. A career at Sono Bello means being part of a dynamic, high-energy work environment where every team member can make a difference. We love what we do, and it shows. As the national leader in providing cutting-edge, personalized body transformations, we believe everyone deserves their best body today and the opportunity to pursue their best life now. With over 130 locations, Sono Bello is the largest and fastest-growing cosmetic surgery practice in the nation. SUMMARY: Sono Bello is seeking a highly motivated inquisitive, self-driven Data Engineering Intern to join our small but growing data team. The intern will be responsible for upgrading out data bricks data pipelines to support a modern medallion architecture and enable our integration with the high-touch CDP, as well as maintaining the accuracy and integrity of our existing data infrastructure. The ideal candidate is eager to learn, takes initiative, and is interested in building technical and business knowledge in a fast-paced environment.

Requirements

Currently pursuing (or completed) a degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, or a related field
Basic Knowledge of SQL, including writing queries and working with relational databases
Familiarity with Python and R for analysis and scripting
Familiarity with APIs and web-based data systems
Ability to manage multiple tasks and meet deadlines in a professional manner
Strong attention to detail and commitment to data accuracy
Demonstrated ability to model Company values
Strong Willingness to learn new tools, systems, and technologies as required

Responsibilities

Refactor Existing Python ELTs to conform with modern medallion architecture to improve monitoring and data integrity and support our integration with a CDP
Work with engineers to learn how to monitor data quality, identify issues, and improve data accuracy to support reliable business reporting and decision-making
Partner with our Lead Data Engineer in analyzing and documenting our data bricks schema to support scalable reporting and enterprise data management
Assist with cleaning up and standardizing service and product hierarchy and categorization across the sales CRM and internal databases, partnering with business leaders to support accurate reporting and consistent business definitions
Support IT teams’ initiative to improve data consistency between systems as part of their Active Directory/Entra clean-up project