Data Engineer

Remote

Full Time

Mid Level

Role Information:

Job Title: Data Engineer

Work Location: Remote position, home office, but will need to be onsite for a week in our Washington office for onboarding

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:
Annual base salary of $107,250- $126,889 depending on years of experience

Role Overview:

We're looking for a skilled and curious 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 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

Required Qualifications:

5–7 years of experience in data engineering, data science, or a related technical role
3+ 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
The word needed for this application is bear. Please add this word when asked in the application.
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.

Benefits:

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

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Learn more about Cutsforth LLC:

Equal Employment Opportunity Statement:

Data Engineer

Role Overview:

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