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Lead Engineer, Analytics Platform – AI

🕒 Setembro 25

🌽 Illinois – Remoto

infoinfo

⏰ Tempo Integral

🟠 Sênior

📊 Engenheiro de Analytics

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Huron, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Setembro 25

Ainda aberta no site da Huron. Verificada 4 horas atrás.

Logo of Huron

Huron

5001 - 10000 funcionários

Fundada em 2002

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Huron Consulting Group é uma consultoria global que oferece uma ampla gama de serviços, incluindo soluções em estratégia, operações, consultoria, digital, tecnologia e análises para vários setores, como saúde, educação, energia e serviços financeiros. A Huron ajuda as organizações a navegar em desafios complexos e impulsionar o crescimento através de soluções personalizadas e estratégias inovadoras. A empresa emprega uma equipe de especialistas dedicados a entregar soluções de alto impacto que atendem às necessidades únicas de cada cliente, com foco em áreas como serviços gerenciados, terceirização e desenvolvimento de liderança.

Descrição

• Lead design and development across responsive front-end interfaces, APIs, services, and the underlying data layer for analytics products • Set technical direction and architecture for scalable, secure, and high-performance AWS-based analytics solutions • Collaborate with product management on roadmap, prioritization, and feature delivery using Agile practices • Identify and lead opportunities to embed AI and Agentic AI capabilities into analytics products • Partner with data scientists to move machine learning models from prototype into reliable, production-grade services • Evaluate and apply large language model-based tools with attention to data privacy, accuracy, and healthcare compliance • Design and maintain ETL and data pipeline processes for dashboards, models, and client-facing reporting • Build scalable data infrastructure using S3, Redshift, Glue, Lambda, and Athena • Uphold data governance, quality, and healthcare data handling standards • Support and mentor a team of engineers • Establish and improve engineering practices, code quality standards, and delivery processes • Communicate progress, risks, and technical decisions to product leadership and cross-functional stakeholders • Write and review code while guiding the platform's technical direction end to end

🎯 Requisitos

• 8 or more years of professional software engineering experience, including full stack development across both front end and back end technologies • 3 or more years leading or mentoring engineers, formally or informally • Demonstrated experience applying AI or machine learning within a production analytics or data product • Strong front end development skills in TypeScript, JavaScript, and React • Strong back end skills in Python and an equivalent language used for analytics and API development • Solid understanding of relational databases and SQL • Working knowledge of AWS Lambda, IAM, S3, Redshift, Glue, and Athena • Experience with infrastructure as code using AWS CloudFormation and AWS CDK • Experience with version control systems, particularly Git • Experience delivering software using Agile methodologies • Excellent written and verbal communication skills • Familiarity with healthcare data interoperability standards such as ANSI X12, HL7, and FHIR is preferred • Experience with healthcare claims data is preferred • Hands-on experience with large language models, prompt engineering, retrieval augmented generation, or vector databases is preferred • Experience with MLOps practices is preferred • Experience with SQLAlchemy and PostgreSQL is preferred • Experience with Amazon RDS, Aurora, Redshift, Athena, Snowflake, DynamoDB, Spark, Terraform, Azure DevOps, and broader AWS services is preferred • Background in healthcare or higher education analytics is preferred • AWS certification is preferred • A bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience is preferred

🏖️ Benefícios

• Remote work arrangement • Career development and mentorship opportunities • Work with a large-scale healthcare analytics platform • Leadership opportunities and technical direction ownership

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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