Data Engineering Manager at Lantern

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. 

About You:

• You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins. 
• INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
• You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas. 
• You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
• Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear. 
• You thrive in a Team Environment. Collaboration is key in innovation and creating change.

These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life. 

If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.

Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.

Data Engineering Manager

We are looking for a seasoned Data Engineering Manager who will help shape the future of our Data Platform. This role will involve leading a team of Data Engineers and will require hands-on contribution to the design, development, and maintenance of the platform. The ideal candidate will bring deep expertise in Data Architecture, batch processing frameworks, and Data Modeling techniques, ensuring smooth data ingestion and export processes. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies. Success in this position will be defined by your ability to own deliverables, effectively manage your team, and drive significant, impactful results. 

Responsibilities: 

• 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  

Experience: 

• 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 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. 

Location: Remote  

Benefits:  

• Medical Insurance  
• Dental Insurance  
• Vision Insurance  
• Short- & Long-Term Disability  
• Life Insurance  
• 401k with company match

Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.