Junior Data Engineer

🕒 Maio 21

🏄 California, Illinois, +1 estados a mais – Remoto

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote

💵 $84.299 - $117.636 / ano

⏰ Tempo Integral

🟢 Júnior

🚰 Engenheiro de Dados

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Cutsforth Inc.

SiteLinkedInTodas as Vagas

11 - 50 funcionários

⚡ Energia

🔧 Hardware

🏢 Corporativo

Energy • Hardware • Enterprise

A Cutsforth Inc. é uma empresa especializada em soluções de engenharia inovadoras para melhorar o desempenho e a confiabilidade de ativos industriais, particularmente no setor de geração de energia. Eles oferecem uma gama de produtos e serviços, incluindo a plataforma de monitoramento de ativos online InsightCM™, suportes de escova removíveis EASYchange®, sistemas de aterramento de eixos e vários serviços de monitoramento e confiabilidade. Com mais de 30 anos de experiência, a Cutsforth é conhecida por seu excepcional atendimento ao cliente e expertise na indústria, fornecendo soluções que ajudam as empresas a melhorar a disponibilidade, confiabilidade e custo-eficiência de suas operações.

Descrição

• Regularly design, develop, and maintain data pipelines and ML workflows to support operational and analytical needs • Write clean, efficient, and well-documented Python code for data processing, model development, and automation tasks • Analyze and interpret complex datasets, including time-series and machine health data to surface meaningful insights and support decision-making • Build, validate, and monitor AI/ML models in production, proactively identifying and resolving performance issues • Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teams • Participate in cross-functional meetings and planning sessions to align data engineering efforts with broader business goals • Stay current with advancements in AI/ML techniques, tools, and industry-specific applications, particularly within power, oil, and gas environments • Document processes, models, and systems in a way that supports knowledge sharing and team continuity

🎯 Requisitos

• 2-5 years of experience in data engineering, data science, or a related technical role • 2+ years of hands-on experience with AI/ML modeling, including building and deploying models in production environments • Strong proficiency in Python for data engineering and machine learning workflows • Experience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment) • Demonstrated ability to collaborate effectively across cross-functional teams • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field

🏖️ Benefícios

• Medical, Vision, Dental Insurance • Health Savings Account with Employer contributions • 401(k) with Employer match • Short-term & Long-term Disability Coverage • Accidental Death & Dismemberment Coverage • Life Insurance Coverage • 80 hours of Paid-Time-Off annually • Eight paid holidays per year • All other benefits required by applicable law