Senior Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of NeueHealth

NeueHealth

1001 - 5000 employés

🏥 Santé

⚕️ Assurance santé

💸 Finance

Healthcare • Healthcare Insurance • Finance

NeueHealth est une entreprise de santé axée sur la fourniture de soins accessibles, abordables et de haute qualité à tous les consommateurs de santé. Autrefois connue sous le nom de Bright Health, elle opère à travers deux segments principaux : NeueCare, qui offre des services de santé complets via des cliniques détenues et affiliées, et NeueSolutions, qui soutient les prestataires indépendants dans des cadres de soins basés sur la performance. Avec un fort accent sur la compréhension des besoins des patients, NeueHealth vise à aligner les intérêts des consommateurs de santé, des prestataires et des payeurs pour améliorer les expériences et les résultats en matière de santé.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• Health insurance • Retirement plans • Professional development

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