Senior Data Engineer

Job not on LinkedIn

🕒 July 2

❄️ Minnesota, Texas – Remote

❄️ Minnesota – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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NeueHealth

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

💸 Finance

Healthcare • Healthcare Insurance • Finance

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.

📋 Description

• Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL. • 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

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or equivalent experience required. • Around Five (5) years of experience in an enterprise or commercial software development environment. Healthcare IT background is highly preferred. • Enterprise development experience coding in Scala. • Experience building batch and streaming data pipelines (Scala). • Experience with API design. • Extensive experience developing data-intensive solutions in a Cloud environment. • Extensive experience developing solutions that use event sourcing and/or Big Data architectures. • 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.

🏖️ Benefits

• Health insurance • Retirement plans • Professional development