Data & Digital Solutions Engineer

Data & Digital Solutions Engineer – Field Operations We are looking for a Data & Digital Solutions Engineer to join our growing Global Spares and Services organization. In this role, you will play a critical part in enabling Field Service teams with the data, knowledge, and digital tools needed to improve service efficiency, drive first-time-right outcomes, and reduce equipment installation and maintenance cycle times at customer sites. This is a highly cross-functional role at the intersection of data engineering, application development, and operational enablement, ideal for someone who enjoys solving real-world problems by integrating systems and building impactful solutions. Key Responsibilities Build and manage data pipelines that integrate data from enterprise systems, vendor sources, and operational environments to support analytics and business insights Develop internal digital applications and tools that streamline and digitize installation, maintenance, and service workflows Enable analytics use cases by structuring and modeling data for reporting, dashboards, and operational decision-making Consolidate and deliver knowledge from multiple sources into user-friendly tools and applications for field teams Collaborate with cross-functional teams (Engineering, Service, IT, Product) to deliver scalable, high-impact solutions Enhance user experience and usability of tools used by field engineers, focusing on simplicity, reliability, and efficiency Partner with IT and platform teams to ensure integration, deployment, and ongoing support of solutions Minimum Qualifications Bachelor’s degree in computer science, Software Engineering, or a related field 2+ years of professional industry experience Strong programming skills in Python (required); experience with modern C++ is a plus Experience with mobile / handheld devices and web application development Experience building internal tools, applications, or automation solutions Experience with cloud platforms (Azure / AWS) Solid understanding of data modeling and working with multiple data sources Ability to work across systems (e.g., enterprise applications, APIs, files, operational data) Strong problem-solving skills and ability to operate in a cross-functional environment Preferred Qualifications (Nice-to-Have) Exposure to AI/ML or GenAI-enabled applications Experience building engineering tools, diagnostic interfaces, or HMIs (e.g., Python frameworks, LabVIEW) Familiarity with knowledge management systems or search platforms Exposure to BI tools and dashboarding (e.g., Power BI, Tableau) What Makes This Role Unique Direct impact on field operations and customer outcomes Opportunity to work across data, applications, and real-world engineering systems High visibility with multiple business functions Ability to shape and scale digital capabilities in a growing organization ASM is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, age, nationality, social or ethnic origin, sexual orientation, gender, gender identify or expression, marital status, pregnancy, political affiliation, disability, genetic information, veteran status, or any other characteristic protected by law. #J-18808-Ljbffr