Jr. Data Engineer

Role Overview

Cutsforth is seeking a Jr. Data Engineer to design and maintain scalable data pipelines and AI/ML models that turn complex operational datasets (including machine health and time-series data) into actionable insights.

Responsibilities

• Design, develop, and maintain data pipelines and ML workflows for operational and analytical needs
• Write clean, efficient, and well-documented Python for data processing, model development, and automation
• Analyze and interpret time-series and machine health datasets to surface meaningful insights
• Build, validate, and monitor AI/ML models in production, proactively addressing performance issues
• Communicate findings and recommendations to technical and non-technical stakeholders
• Participate in cross-functional planning to align data engineering with business goals
• Stay current on AI/ML advancements and tools, especially for power/oil-and-gas applications
• Document processes, models, and systems for knowledge sharing

Requirements

• 2–5 years of experience in data engineering, data science, or a related technical role
• 2+ years hands-on AI/ML modeling, including building and deploying models in production
• Strong Python proficiency for data engineering and ML workflows
• Ability to design/manage end-to-end ML pipelines (ingestion → feature engineering → training → deployment)
• Proven cross-functional collaboration
• Bachelor’s degree in a relevant field (Computer Science, Data Science, Engineering, Mathematics, or related)

Preferred Qualifications

• Master’s degree in a relevant technical discipline
• Experience with machine health datasets and/or condition monitoring
• Background in power, oil, and gas (operational data, equipment telemetry, industrial IoT)
• Familiarity with time-series modeling, forecasting, and anomaly detection
• Experience with Azure ML platforms and orchestration tools

Other / Screening

• Must successfully pass a background check for cybersecurity access requirements
• Expected to review cybersecurity-related policies and maintain a cybersecure work environment

Employment & Location

• Full-time, remote, but requires 1 week of training at the Washington office
• Must reside in the United States
• Not accepting remote applicants in California, Illinois, and New York
• Visa sponsorship is not available