Data Engineer – Snowflake, DataStage

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VSP Vision Care

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1955

⚕️ Healthcare Insurance

🛒 Retail

Healthcare Insurance • Retail

VSP Vision Care is a leading eye care company that focuses on providing access to quality eye care and eyewear solutions. With a comprehensive portfolio of services, VSP Vision Care supports both individuals seeking eye health services and providers managing their practices. The company is committed to social responsibility, emphasizing health equity, sustainability, and a culture of belonging. Through initiatives such as Follow Your Heart, VSP Vision Care helps people maximize the value of their offerings, starting with eyewear. Recognized for its customer service excellence and commitment to diversity and inclusion, VSP Vision Care strives to empower human potential through sight. It has also been acknowledged as a top workplace in healthcare and is committed to supporting veterans and the military-connected community.

📋 Description

• Create and maintain data pipelines for key data and analytics capabilities in the enterprise • 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 business partners to mitigate issues • Build and maintain data pipelines using appropriate tools and practices in development, test, and production environments • Design with modularity to leverage reuse of code wherever possible • 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.

🎯 Requirements

• Bachelor’s degree in computer science, data science, statistics, economics, or related functional area; or equivalent experience • 4+ years’ experience working in a development team providing analytical capabilities • 4+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT/data pipeline design • SQL coding experience • Familiarity with agile development environments (Scrum, Kanban) with a focus on Continuous Integration and Delivery • Previous experience using a data integration platform (IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo) • Familiarity with data warehouse MPP platforms such as Snowflake, Netezza, Teradata, Redshift, etc. • Familiarity with event store and stream processing (Apache Kafka and platforms like Confluent) • Knowledge of API development and management platforms (MuleSoft, Axway) is also beneficial • Capable of focusing on specific tasks while ensuring alignment to a broader strategic design • Exhibits traits of a proactive, self-driven contributor who values continual learning and adoption of new technology.

🏖️ Benefits

• Eligible bonuses and commissions