Data Engineer II

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. Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid experience building data pipelines, working with batch processing frameworks, and applying data modeling techniques to support reliable data ingestion and exports. In this role you will collaborate with technology and business stakeholders to deliver data solutions that meet user needs. The candidate should demonstrate an engineering mindset and an interest in developing enterprise-scale solutions using modern cloud platforms, databases, data integration/orchestration tools, and big data technologies. Location: Hybrid - at least 3 days/wk in our Dallas, TX office Responsibilities: Design and implement robust, scalable, and high-performance data pipelines Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization. Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs. Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms. Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs). Experience supporting production jobs and mitigate issues in a timely manner. Write unit, integration, and functional tests for new features. Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices. Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation. Qualifications: 3+ years of experience as a Data Engineer (or related role), building and supporting data pipelines in production. 1+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP. Hands-on experience with Spark, Python, and SQL to build, test, and maintain data pipelines (including writing clear, maintainable code and queries). Experience with Microsoft SQL Server (preferred) or other relational databases, including query optimization and performance tuning. Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks. Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources. Experience building data pipelines that are scalable and reliable, with attention to data quality, testing, and operational support. Experience contributing to data lake or lakehouse solutions to support analytics and downstream consumption. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful. Experience or knowledge of creating RESTful API’s is a plus. Experience building Dashboards and visualizations using Power BI or other tools is a plus. . Benefits Medical Insurance Dental Insurance Vision Insurance Short & Long Term Disability Life Insurance 401k with company match…