Senior Data Engineer

Job Description

Requirements
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### Must have:

### - We require a bachelors degree from an accredited college or university in an engineering or science discipline, along with at least 6 years of relevant experience, or a masters degree with at least 4 years of relevant experience, or a doctorate with at least 1 year of relevant experience. - We will also consider current Senior Reactor Training Engineers, Refueling Engineers, or Field (RPCO) Engineers at our company. - We look for strong expertise in Python, SQL, and data pipeline technologies. - We value hands-on experience with cloud environments such as Azure, AWS, or GCP. - We prefer candidates with experience supporting machine learning workflows and production model deployment (MLOps). - We seek familiarity with containerization and orchestration tools such as OpenShift and Kubernetes. - We want a solid understanding of data modeling, data warehousing, and distributed systems. - Experience with CI/CD pipelines and infrastructure as code is considered an advantage. - Background in building data platforms that support AI-driven products is highly desirable. - We need excellent problem-solving ability and a collaborative mindset for cross-functional work. - All candidates must be U.S. citizens and able to meet requirements for access to classified information.

Responsibilities:
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- We design, build, and maintain scalable, secure data pipelines, data lakes, data warehouses, and reporting solutions. - We integrate large, varied data sources into unified systems that support analytics, forecasting, and operational decisions. - We support the deployment, monitoring, and lifecycle management of AI and machine learning models and agents in production. - We improve data workflows and platform performance through automation, modernization, and advanced engineering methods. - We maintain large datasets and develop pipelines that support critical engineering and operational systems. - We provide technical leadership across wide-ranging engineering efforts and contribute to technical committees that advance organizational objectives. - We optimize performance and control costs across cloud-based data platforms. - We partner with data scientists, software engineers, and business stakeholders to deliver reliable, high-quality data systems.
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Company:
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We are the Naval Nuclear Laboratory, a national asset dedicated to the Naval Nuclear Propulsion Program. For nearly 70 years, we have advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to help ensure the safe and reliable operation of the U.S. Navys submarine and aircraft carrier fleets. Our culture is built on trust, empowerment, and collaboration, and we support a positive environment focused on mission success and safety. We offer a comprehensive benefits package that includes health, dental, vision, disability, life and accident insurance, retirement savings plans, paid time off, parental leave, flexible schedules, tuition assistance, wellness resources, and more. Our employees work across multiple DOE facilities and related sites, and this role offers a salary range of $106,200 to $166,000 annually, depending on experience and qualifications.
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