ABOUT LANTERN

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation’s top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation’s largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.

QUALIFICATIONS:

• Bachelor’s degree in IT or related field preferred; equivalent combination of education and experience acceptable.
• 5+ years of professional data engineering experience in enterprise-scale environments.
• 3+ years of MuleSoft development experience (API design, Anypoint Studio, API Manager, RAML).
• 3+ years of Salesforce data integration experience (Salesforce APIs, Bulk API, Data Loader, SOQL).
• 6+ years of SQL development experience (ETL, ELT, complex queries, and data analysis).
• 3+ years working with enterprise data warehouses.
• Experience with Azure Data Factory and/or Enterprise Data Lakes.
• Experience with Databricks (big plus).
• 1+ years of Microsoft Power BI report development.
• Strong Data Modeling capabilities, including designing conceptual, logical, and physical data models to support integration and analytics.
• Good to have programming experience in Java, C#, Python, or another object-oriented programming language.
• Experience with CMD shell, PowerShell scripting, or automation frameworks.
• Strong problem-solving and data troubleshooting skills.
• Ability to work in large-scale, complex data environments.
• Excellent communication skills, with the ability to collaborate with technical and non-technical stakeholders.
• Strong organizational skills and attention to detail.
• Self-motivated with the ability to manage multiple priorities in a fast-paced environment.
• Healthcare industry experience – Nice to have.

• Design, develop, and maintain MuleSoft APIs, connectors, and integration flows to enable seamless data movement across Salesforce and other enterprise applications.
• Build and optimize Salesforce data pipelines, including data extraction, transformation, and loading into analytical platforms.
• Ensure integration solutions adhere to security, data governance, and performance standards.
• Collaborate with Salesforce administrators, developers, and architects to align data strategies with business needs.
• Document requirements and translate them into technical system specifications.
• Execute and coordinate requirements management and change management processes.
• Perform unit and integration testing for MuleSoft and Salesforce pipelines.
• Provide support for data-related issues within Salesforce, MuleSoft, and enterprise data warehouses.
• Act as a subject matter expert for Salesforce data models and MuleSoft integration patterns.
• Explore new integration technologies and contribute to innovation within the data engineering team.