Jr. Data Engineer

Cutsforth is seeking a skilled and curious Jr. Data Engineer to join their team and help shape the future of how they use data to drive operational outcomes. In this role, you'll design and maintain scalable data pipelines, develop and deploy AI/ML models, and work cross-functionally to turn complex datasets into actionable insights.

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