Job Url: https://www.remoterocketship.com/company/neuehealth/jobs/senior-data-engineer-united-states-remote

Job Description: 
NeueHealth
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NeueHealth is a healthcare company focused on providing accessible, affordable, and high-quality care to all health consumers. Formerly known as Bright Health, it operates through two primary segments: NeueCare, which delivers comprehensive healthcare services via owned and affiliated clinics, and NeueSolutions, which supports independent providers in performance-based care arrangements. 

With a strong emphasis on understanding patient needs, NeueHealth aims to align the interests of health consumers, providers, and payors to enhance healthcare experiences and outcomes. 

Value-based care • Primary care • patient engagement • Physician enablement • ACO REACH


1001 - 5000 employees

⚕️ Healthcare Insurance

💸 Finance

🧘 Wellness

Senior Data Engineer
2 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Azure

Cloud

Distributed Systems

Docker

ETL

Kubernetes

Microservices

Scala

Spark

SQL

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📋 Description
• Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala.
• Build APIs, data microservices and ETL pipelines, to share data with internal and external partners and write interfaces to public data sets to enrich our analytics data stores.
• Develop and optimize processes for fine-tuning large language models (LLMs) and implementing Retrieval-Augmented Generation (RAG) frameworks to enhance AI-driven solutions.
• Participate in building and owning a culture of DevOps and Quality Assurance.
• Continuously document your code, framework standards, and team processes.
• Build and support Data Ingestion frameworks deployed in Azure.
• Other duties and responsibilities as assigned.

🎯 Requirements
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• Experience engineering big-data solutions using technologies like Databricks, Hive, and Spark.
• Experience with functional programming in Scala and C#
• Experience building distributed systems with microservices and/or service-oriented architectures
• Experience working within an Azure environment. Hands on Azure admin and DevOps experience is a plus.
• Experience with MLOps or LLMOps for deploying and managing machine learning workflows.
• Familiarity with containerization/virtualization, e.g., Docker, Kubernetes
• Familiarity with Databricks infrastructure management
• Familiarity with CI/CD best practices