Data Engineering Manager - Remote

Overview

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.

In Short

• Lead and mentor a team of data engineers to design, develop, and deploy scalable solutions.
• Collaborate with product and business stakeholders to deliver data solutions that meet user needs.
• Architect, build, and maintain data infrastructure, ensuring reliability, scalability, and performance across various data sources and platforms.
• Implement Data Ingestion, Transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
• Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
• Define and enforce coding standards and document best practices within the team.
• Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
• Experience supporting production jobs and mitigate issues within the defined SLA.
• Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
• Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

Requirements

• Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
• 7+ years of experience in Data Engineering, with a track record of driving technical innovation and implementation of complex data solutions at scale.
• 5+ years of hands-on programming experience with Python.
• 3+ years of experience managing a team or as a team lead.
• 4+ years of Cloud Experience: Azure (preferred)/AWS/GCP.
• 3+ years of working with EDI or HIE standards (e.g. X12, HL7, and/or FHIR).
• Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution.
• Experience in Modern Data Technologies like Spark, Databricks, and Kafka.
• Expertise with Microsoft SQL Server (preferred) or other relational databases.
• Experience in building data lakes to support high speed querying by the end users.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior Experience with Marketing Automation Platforms, Data Segmentation, and multi-channel campaign measurement will be helpful.
• Familiarity with CI/CD (e.g. Azure pipelines), and IAC (e.g., Terraform) is a plus.
• Experience or knowledge with creating RESTful API’s and data visualizations is a plus.

Benefits

• Opportunity to shape the future of a Data Platform.
• Work in a diverse and inclusive environment.
• Collaborate with a dedicated care team.
• Drive significant, impactful results.
• Foster a culture of continuous learning and innovation.