Data Engineer

About this role

About The Company
Our company is a leading innovator in data-driven solutions within the power, oil, and gas industries. Committed to leveraging cutting-edge technology and industry expertise, we aim to optimize operational efficiency, enhance safety, and promote sustainable energy practices. Our team is dedicated to developing advanced AI and machine learning models that transform complex datasets into actionable insights, supporting our clients in making informed decisions and achieving operational excellence. We foster a collaborative and inclusive work environment that encourages continuous learning, innovation, and professional growth. With a focus on integrity and excellence, our organization strives to be at the forefront of technological advancements in industrial data management and analytics.


About The Role
We are seeking a highly skilled and curious Data Engineer to join our dynamic team. In this full-time, exempt position, you will play a crucial role in designing, developing, and maintaining scalable data pipelines and machine learning workflows. Your expertise will support operational and analytical needs, particularly in processing complex datasets such as machine health and time-series data. As a key member of our team, you will collaborate across functions to turn raw data into meaningful insights that drive operational improvements. This role requires a strong foundation in Python, AI/ML model deployment, and data pipeline architecture. The successful candidate will be proactive in staying current with industry advancements, particularly within power, oil, and gas sectors, and will contribute to our mission of transforming data into impactful operational outcomes.


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 dat...