Jr. Data Engineer

Role Overview

Join Cutsforth as a Jr. Data Engineer to design and maintain scalable data pipelines and develop/deploy AI/ML models that turn 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, well-documented Python for data processing, model development, and automation
• Analyze complex datasets (time-series and machine health) to surface meaningful insights and support decisions
• Build, validate, and monitor AI/ML models in production, proactively resolving performance issues
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders
• Participate in cross-functional planning to align data engineering efforts with business goals
• Stay current on advances in AI/ML (especially for power, oil, and gas applications)
• Document processes, models, and systems for knowledge sharing and continuity

Required Qualifications

• 2–5 years 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 skills for data engineering and ML workflows
• Experience designing end-to-end ML pipelines (ingestion → feature engineering → training → deployment)
• Ability to collaborate effectively across cross-functional teams
• Bachelor’s degree in CS, Data Science, Engineering, Mathematics, or related field

Preferred Qualifications

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

Other / Compliance

• Must successfully pass a background check for cybersecurity access requirements
• Expected to follow and review cybersecurity policies/procedures relevant to the role

Compensation & Work Details

• Remote role with 1 week of training at the Washington office
• US residency required; no visa sponsorship
• Not accepting remote applicants in California, Illinois, and New York at this time
• Salary range: $84,299–$117,636 (based on years of experience)

Benefits

• Medical, Vision, Dental insurance
• Health Savings Account with employer contributions
• 401(k) match
• Short-term & long-term disability; Life insurance; Accidental death & dismemberment
• 80 hours paid time off annually + 8 paid holidays