Data Engineer

Role Information: Job Title: Data Engineer Work Location : Fully remote position, home 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 innovative 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, prepare and serve high-quality datasets, and partner with our data science team to support their AI/ML workflows. If you have strong data engineering fundamentals and enjoy research and development, Cutsforth is the organization for you. Key Responsibilities: Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads Write clean, efficient, and well-documented Python code for data processing and automation tasks Support the integration and monitoring of AI/ML models in production by delivering reliable, well-structured data pipelines 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 data engineering tools, techniques, and industry-specific applications, particularly within power, oil, and gas environments Document processes, data models, and systems in a way that supports knowledge sharing and team continuity Required Qualifications: 2-5 years of experience in data engineering, data science, or a related technical role Experience with AI/ML workflows and the data needs of model development, including supporting model deployment in production environments 1-4 years of hands-on experience with Databricks for building and managing data pipelines 1-2 years of hands-on experience with Apache Spark for distributed data processing 1-3 years of experience with Microsoft Azure; equivalent experience with AWS or GCP may substitute Strong proficiency in Python for data engineering pipelines Strong proficiency in SQL for querying, transforming, and validating large datasets Experience with Git and standard version control workflows, including branching, pull requests, and code review Experience designing and managing end-to-end data pipelines (data ingestion to transformation to validation to serving) Strong data system design skills, including data modeling and architecting scalable, reliable, and maintainable data systems 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 Experience with workflow orchestration tools Other Qualifications: Successfully pass background check for cybersecurity site access Design and implement Bronze, Silver, and Gold layer pipelines to ingest, transform, and serve structured and semi-structured data Prepare, transform, and serve datasets that support the data science team’s work in predictive analytics, anomaly detection, and operational optimization Collaborate across engineering, operations, and product teams to understand data needs and translate them into scalable technical solutions Operationalize and monitor the data workflows that feed deployed models, ensuring reliability and continuous improvement Champion data quality, governance, and best practices across the data ecosystem Contribute to the evaluation and adoption of emerging data engineering tools, frameworks, and methodologies 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: Paid Time Off 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 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 Cutsf