Data & AI Engineer - Manufacturing

We are seeking a highly motivated professional to support the development of intelligent manufacturing systems, scalable data architecture, and AI-enabled operational solutions across Manufacturing Operations. This role is based onsite and involves building the data foundation that powers operational reporting, decision-making, process optimization, and future AI applications. The successful candidate will partner closely with Manufacturing, Program Management, Operations, and IT teams to transform manufacturing data into actionable insights and scalable business solutions.

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline.
• 4–6 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical field with significant data responsibilities.
• Strong proficiency in SQL, Python, data modeling, ETL development, and enterprise-scale data warehousing solutions.
• Experience designing scalable data architectures and building trusted, analytics-ready datasets that support operational decision-making.
• Working knowledge of AWS cloud technologies and modern data platforms, with a strong understanding of data quality, governance, and monitoring principles.
• Prior work experience in the manufacturing industry or a related field.

Applicants must be able to work directly for Artech on W2.

• Experience working with SAP HANA, SAP MES, or other manufacturing execution and enterprise resource planning systems.
• Experience developing data models and architectures that support AI, machine learning, and advanced analytics applications.
• Experience supporting manufacturing, industrial operations, robotics, autonomous systems, or supply chain environments.
• AWS Certified Data Engineer, AWS Solutions Architect, or equivalent cloud certification.
• Demonstrated ability to translate business challenges into scalable technical solutions through data, analytics, and AI technologies.

• Design, develop, and maintain scalable data pipelines, ETL processes, and data warehouse solutions that support Manufacturing Operations reporting, analytics, and decision-making.
• Build and manage curated data models and analytics-ready datasets that provide a trusted source of manufacturing performance, quality, and operational metrics.
• Integrate data from enterprise and manufacturing systems, including SAP HANA, SAP MES, production systems, quality systems, and operational databases.
• Identify operational challenges and partner with stakeholders to develop AI-enabled solutions, analytics tools, and automation opportunities that improve manufacturing performance.
• Develop and optimize Python-based data processing solutions and advanced SQL queries to transform, integrate, and analyze complex datasets.
• Establish robust data governance, validation, monitoring, and quality frameworks to ensure the accuracy, consistency, and reliability of manufacturing data assets.
• Support the long-term evolution of Manufacturing Operations data architecture, enabling advanced analytics, machine learning, automation, and intelligent manufacturing capabilities.

For immediate consideration please click APPLY to begin the screening process with Alex.