Data Engineer (Snowflake/DataStage)
VSP VisionUnited States
Posted December 23, 2025
63000 - 108675 USD year
Full Time
About the Company
At VSP Vision, we activate the full power of care by consciously reinvesting in greater vision, health, and opportunities for all. Our mission is to help people see every possibility—and we do that through our strategic business pillars that work together to connect nearly 90 million patients to network doctors in a variety of settings across the globe. When you become a VSPeep, you join a group of thinkers, doers, adventurers, risk-takers, and boundary pushers who think outside the peripheral to develop products, programs, and services that help create a world where everyone can bring their best vision to life. The VSP Values are: We care, We trust, We empower diversity, and We are one team. Join the power of our purpose and check out job opportunities with VSP and its strategic businesses, including: VSP Vision Care, Marchon Eyewear, Altair Eyewear, VSP Optics, Eyefinity EHR, VSP Retail, VSP Ventures, and Eyes of Hope (our charitable giving platform).
Job Description
The Data Engineer creates and maintains data pipelines for key data and analytics capabilities in the enterprise. This position works in collaboration with analytics and data warehousing staff, DBAs and subject matter experts to create reliable processes that load targeted data with integrity and quality, enabling it for strategic use by the business.
Requirements
- Collaborate within an agile, multi-disciplinary team to develop optimal data integration and transformation solutions
- Document and analyze data requirements (functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives
- Profile data to assess the accuracy and completeness of data sources and work with the business partners to mitigate issues
- Build and maintain data pipelines for using appropriate tools and practices in development, test, and production environments
- Create data mappings, programs, routines, and SQL to acquire data from legacy, web, cloud, and purchased package environments into the analytics environment
- Use a mix of ELT, ETL, data virtualization, and other methods to optimize the balance of minimal data movement against performance
- Maintain metadata management processes and documentation
- Monitor data quality to detect emerging issues and consult with the team to create transformation rules to cleanse against defined rules and standards
- Participate in code reviews and unit testing to optimize performance and minimize issues
Benefits
- Generous Paid Time Off
- 401k Matching
- Tuition Reimbursement
- VSP Vision benefits