Data Engineer

🔥 12 hours ago

🏄 California, Illinois, +1 more states – Remote

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

💵 $84.3k - $117.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Cutsforth Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Energy

🔧 Hardware

🏢 Enterprise

Energy • Hardware • Enterprise

Cutsforth Inc. is a company that specializes in innovative engineering solutions to enhance the performance and reliability of industrial assets, particularly in the power generation sector. They offer a range of products and services, including the InsightCM™ online asset monitoring platform, EASYchange® removable brush holders, shaft grounding systems, and various monitoring and reliability services. With over 30 years of experience, Cutsforth is known for its exceptional customer service and industry expertise, providing solutions that help companies improve the availability, reliability, and cost-efficiency of their operations.

📋 Description

• Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads • Write clean, efficient, and well-documented Python code for data processing and automation tasks • Support the integration and monitoring of AI/ML models in production by delivering reliable, well-structured data pipelines • 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 data engineering tools, techniques, and industry-specific applications, particularly within power, oil, and gas environments • Document processes, data models, and systems in a way that supports knowledge sharing and team continuity

🎯 Requirements

• 2-5 years of experience in data engineering, data science, or a related technical role • Experience with AI/ML workflows and the data needs of model development, including supporting model deployment in production environments • 1-4 years of hands-on experience with Databricks for building and managing data pipelines • 1-2 years of hands-on experience with Apache Spark for distributed data processing • 1-3 years of experience with Microsoft Azure; equivalent experience with AWS or GCP may substitute • Strong proficiency in Python for data engineering pipelines • Strong proficiency in SQL for querying, transforming, and validating large datasets • Experience with Git and standard version control workflows, including branching, pull requests, and code review • Experience designing and managing end-to-end data pipelines (data ingestion to transformation to validation to serving) • Strong data system design skills, including data modeling and architecting scalable, reliable, and maintainable data systems • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field

🏖️ Benefits

• Paid Time Off • 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 • Eight paid holidays per year • All other benefits required by applicable law