Jr. Data Engineer

Cutsforth is a company seeking a skilled and curious Jr. Data Engineer to help shape the future of data usage for operational outcomes. In this role, you'll design and maintain scalable data pipelines, develop AI/ML models, and work cross-functionally to derive actionable insights from complex datasets.

Responsibilities:

• 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

Requirements:

• 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
• Successfully pass background check for cybersecurity access requirements
• Master's degree in a relevant technical discipline
• Experience working with machine health datasets and/or condition monitoring applications
• Background in the power, oil, or gas industry — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plus
• Familiarity with time-series data modeling, forecasting, and anomaly detection techniques
• Experience with cloud-based ML platforms (Azure) and orchestration tools