Role Information:Job Title: Jr. Data EngineerWork Location: Remote position- Required 1 week of training at our Washington officeEmployment Type: Full-timeEmployment Status: Exempt, salariedVisa sponsorship is not available for this position.Must reside in the United States.We are not accepting applicants for remote workers in California, Illinois, and New York at this time.Compensation:$84,299-$117,636- depending on years of experienceRole Overview:We're looking for a skilled and curious Jr. Data Engineer to join our team and help shape the future of how we use data to drive real 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, including machine health and time-series data — into actionable insights.Key Responsibilities:Regularly design, develop, and maintain data pipelines and ML workflows to support operational and analytical needsWrite clean, efficient, and well-documented Python code for data processing, model development, and automation tasksAnalyze and interpret complex datasets, including time-series and machine health data to surface meaningful insights and support decision-makingBuild, validate, and monitor AI/ML models in production, proactively identifying and resolving performance issuesCommunicate technical findings and recommendations clearly to both technical and non-technical stakeholders across teamsParticipate in cross-functional meetings and planning sessions to align data engineering efforts with broader business goalsStay current with advancements in AI/ML techniques, tools, and industry-specific applications, particularly within power, oil, and gas environmentsDocument processes, models, and systems in a way that supports knowledge sharing and team continuityRequired Qualifications:2-5 years of experience in data engineering, data science, or a related technical role2+ years of hands-on experience with AI/ML modeling, including building and deploying models in production environmentsStrong proficiency in Python for data engineering and machine learning workflowsExperience designing and managing end-to-end ML pipelines (data ingestion → feature engineering → model training → deployment)Demonstrated ability to collaborate effectively across cross-functional teamsBachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related fieldPreferred Qualifications:Master's degree in a relevant technical disciplineExperience working with machine health datasets and/or condition monitoring applicationsBackground in the power, oil, or gas industry — understanding of operational data, equipment telemetry, or industrial IoT environments is a strong plusFamiliarity with time-series data modeling, forecasting, and anomaly detection techniquesExperience with cloud-based ML platforms (Azure) and orchestration toolsOther Qualifications:Successfully pass background check for cybersecurity access requirements.Cybersecurity Role Expectations:Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.Candidate is expected to maintain a cybersecure work environment.Benefits:Medical, Vision, Dental InsuranceHealth Savings Account with Employer contributions401(k) with Employer matchShort-term & Long-term Disability CoverageAccidental Death & Dismemberment CoverageLife Insurance Coverage80 hours of Paid-Time-Off annuallyEight paid holidays per yearAll other benefits required by applicable lawAlignment with Corporate ValuesAll Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.Learn more about Cutsforth here:
Cutsforth.com/AboutRead our Mission & Values here:
Cutsforth.com/Values
