The Role
Design, build, and maintain scalable data pipelines to support operational, analytical, and ML workloads. Write Python and SQL for data processing, integrate and monitor ML models in production, document systems, collaborate cross-functionally, and champion data quality, governance, and tooling improvements.
Summary Generated by Built In
Role Information:
Key Responsibilities:
- 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.
- $84,299 - $117,636, depending on years of experience
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
- 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
- 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
- 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
- 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.
- 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
Skills Required
- 2-5 years of experience in data engineering, data science, or a related technical role
- Experience with AI/ML workflows and supporting model deployment in production
- 1-4 years hands-on experience with Databricks
- 1-2 years hands-on experience with Apache Spark
- 1-3 years experience with Microsoft Azure (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 (branching, pull requests, code review)
- Experience designing and managing end-to-end data pipelines (ingestion to serving)
- Strong data system design skills, including data modeling and architecting scalable, reliable systems
- Demonstrated ability to collaborate effectively across cross-functional teams
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field
- Must reside in the United States (visa sponsorship not available)
- 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
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The Company
What We Do
Cutsforth™ specializes in developing innovative new technologies and services to enhance plant asset management. We create mechanical, electrical, and software-based solutions to help plants monitor and maintain their critical equipment. Gain real-time insight into your machinery health through asset monitoring solutions and machinery upgrades. Cutsforth's knowledge and commitment to excellence drives our innovative solutions for the changing needs of our customers. Whether a quick response to a critical situation, or a new way of solving an old problem, our commitment to quality ensures our customers receive the best in class products and services---Cutsforth is the Power of Innovation.
