Job Description

Role Information:

• Job Title: Jr. Data Engineer
• Work Location: R emote position- Required 1 week of training at our Washington office
• Employment Type: Full-time
• Employment Status: Exempt, salaried
• Visa 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 experience

Role 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. If you thrive at the intersection of engineering rigor and data science innovation, this  one's for you.  

Key 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  d ata  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

Required Qualifications:

• 2-5years of experience in  d ata  e ngineer ing, 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 d ata  e ngineer ing 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  

Preferred Qualifications:

• 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 

Other 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.

Benefit s:

• Medical, Vision, Dental Insurance
• Health Savings Account with Employer contributions
• 401(k) with Employer match
• Short-term & Long-term Disability Coverage
• Accidental Death & Dismemberment Coverage
• Life Insurance Coverage
• 80 hours of Paid-Time-Off annually
• Eight paid holidays per year
• All other benefits required by applicable law

Alignment with Corporate Values

All 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/About
• Read our Mission & Values here: Cutsforth.com/Values

Equal Employment Opportunity Statement:

Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.

For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants

California Privacy Notice:
If you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.

For Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants

Job Tags

Full time, Temporary work, Apprenticeship, Work at office

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