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Jr. Data Engineer

Cutsforth

full-remotejuniorpermanentdata United States 3 days ago via LinkedIn
84,299 - 117,636 USD/annual

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Tags

PythonAI/MLMachine LearningData PipelinesTime-SeriesAnomaly DetectionAzureOrchestrationIndustrial IoTStakeholder Management

About the role

Role Overview

Join Cutsforth as a Jr. Data Engineer (Remote) to design and maintain scalable data pipelines and help deploy AI/ML models that turn complex operational datasets (e.g., machine health and time-series data) into actionable insights.

Key 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 (including time-series and machine health) to generate 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 work with business goals
  • Stay current with advancements in AI/ML techniques and tools, especially for power, oil, and gas environments
  • Document processes, models, and systems to support knowledge sharing

Required Qualifications

  • 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 to production
  • Strong Python skills for data engineering and machine learning workflows
  • Experience designing and managing end-to-end ML pipelines (ingestion → feature engineering → training → deployment)
  • Ability to collaborate effectively across cross-functional teams
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field

Preferred Qualifications

  • Master’s degree in a relevant technical discipline
  • Experience with machine health datasets / condition monitoring applications
  • 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 and orchestration tools

Other / Compliance

  • Must successfully pass a background check for cybersecurity access requirements and maintain a cybersecure work environment

Employment & Location

  • Full-time, exempt salaried role
  • Remote position; 1 week of training required at the Washington office
  • Must reside in the United States
  • Remote applicants not accepted in California, Illinois, and New York (at this time)
  • No visa sponsorship

Compensation & Benefits

  • Salary: $84,299–$117,636 (dependent on years of experience)
  • Medical/Vision/Dental, HSA, 401(k) match, short- & long-term disability, life insurance
  • 80 hours PTO annually and 8 paid holidays

About Cutsforth

Cutsforth is a technology company focused on using data to drive operational outcomes. The role described centers on building scalable data pipelines and deploying AI/ML models, including applications involving machine health and industrial time-series data (power, oil, and gas).

Scraped 5/21/2026

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