WHO WE ARE

Born from a mission to make prescription eyewear affordable and accessible to everyone, Zenni Optical has been changing the way people see the world since 2003. With complete prescription pairs for adults and kids starting at under $10, we’ve grown into a global brand with over 51 million pairs of glasses sold — and counting!
Based in the San Francisco Bay Area, we’re proud to be the Official Eyewear of the San Francisco 49ers, Boston Celtics, Monster Jam, Ghost Gaming, TSM, Major League Pickleball and more. We’ve also partnered with tastemakers and designers like Chase Stokes, Jrue Holiday, and George and Claire Kittle to bring our brand to life in bold, meaningful ways.
Innovation is at the heart of everything we do at Zenni — from our revolutionary EyeQLenz™ with Zenni ID Guard™ glasses to our cutting-edge VR Vision Screener, we’re constantly exploring new ways to improve vision and enhance lives. For more information, please visit zenni.com/press.
Candidate safety is important to us. Please note that all official communication will only be sent from @zennioptical.com addresses.

POSITION OVERVIEW:

To support our rapid growth, we are currently looking for a strong tech background Data Engineer to be part of the Data Engineering team that builds scalable data systems to support both data-driven analysis and AI initiatives. This position will be a key member of the team, responsible for expanding data visibility across the organization, developing data models to optimize business decisions, and supporting the data infrastructure required for AI initiatives. You will be working in business domains of e-commerce, Marketing, Inventory, Supply Chain and Customer Servic etc, and leverage enriched data to bring real impact back to the company.

BASIC QUALIFICATIONS:

• Bachelor’s degree in Computer Science or a related field
• At least 5 years of experience in data engineering.
• Strong experience in Databricks Platform, Unity Catalog and/or GCP tech stacks
• Strong coding skills in Python and SQL.
• Knowledge of data modeling techniques and best practices for designing data warehouses and data lakes
• Experience working with DBT (Data Build Tool), for data modeling, and understanding of medallion architecture
• Expertise in data quality assurance, validation, and testing processes to ensure data accuracy and reliability
• Designed and implemented a robust data security platform that adhered to industry compliance standards, including GDPR, HIPAA, and SOC2 Type 2
• Experience with a velocity team, and embrace a collaborative culture that supports teammates and drives outcomes together.
• Strong experience with end to end project delivery including requirement gathering, communication with stakeholders, implementation and QA process.
• Excellent written and verbal communication skills in English, with the ability to communicate complex ideas to both technical and non-technical audiences.

• Develop and maintain data pipelines to centralize and transform data into a data warehouse or data lake
• Design and build scalable and efficient data models to meet the business data needs
• Implement and maintain data security measures using modern technology stacks and best practices
• Collaborate with software engineers, AI engineers, and business stakeholders to design and build scalable data infrastructure and pipelines that support both analytics and AI initiatives.
• Lead end-to-end implementation of data projects, including requirements gathering, data processing, and data dashboard implementation if needed