IDCS Data Engineer - AI & Infrastructure Enablement
SHI GmbH
- United States
- United States
À propos
This role supports AI development and server rack deployment lifecycle activities, spanning presales design through post-deployment operations. Role Description Build and maintain data pipelines that support AI development, analytics, and automation across server and rack deployments Enable presales activities by supporting data models for solution design, BOM creation, capacity planning, and scenario analysis Support AI initiatives by preparing and curating data for machine learning, GenAI, and decision-support use cases Partner with presales, solutions engineering, IDCS, and operations teams to ensure data continuity from design through deployment and post-ship support Integrate data across enterprise systems including configuration tools, inventory systems, manufacturing data, logistics, and deployment tracking Develop dashboards and analysis that track deployment progress, risks, SLAs, and operational performance Ensure data quality, reliability, and traceability across the full lifecycle of AI and infrastructure projects Document standards, repeatable data patterns, and automation to scale AI-enabled infrastructure delivery Behaviors and Competencies Communication: Can lead and model exceptional communication at all levels of the organization, develop and implement communication strategies, and coach others to improve their communication skills Adaptability: Can drive strategic transformations, inspire others to embrace change, and foster a culture of continuous adaptation Collaboration: Can lead complex team projects, inspire others to collaborate effectively, and foster a culture of mutual respect and shared purpose Time-Management: Problem Solving: Can lead strategic problem-solving initiatives, inspire others to improve their problem-solving skills, and foster a culture of proactive problem-solving Initiative: Can lead strategic and complex initiatives, inspire others to take initiative, and foster a culture of continuous improvement Analytical Thinking: Can lead and innovate in the application of analytical thinking, solve complex problems, influence others, and contribute to best practices. Skill Level Requirements Strong experience in data engineering fundamentals, including ETL/ELT pipelines, data modeling, and cloud-based data platforms Hands-on experience supporting AI or analytics initiatives through data preparation and orchestration Proficiency in Python and SQL Experience working with structured and semi-structured data across operational and engineering systems Ability to translate presales and operational needs into scalable data solutions Preferred Experience
Experience supporting AI workloads tied to infrastructure, manufacturing, or data center environments Familiarity with GenAI, LLM-adjacent workflows, or analytics supporting deployment automation Exposure to server, rack, or data center lifecycle data, from design through delivery and post-deployment Experience working in presales, services, or solution delivery organizations Other Requirements Completed Bachelor's Degree in Computer Science or a related field, or relevant work experience Ability to travel 10% The estimated annual pay range for this position is $120,000 - $145,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending. Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
Compétences linguistiques
- English
Avis aux utilisateurs
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