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# Data & Digital Solutions Engineer

- **Company:** ASM
- **Location:** Phoenix, AZ, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Programming, Information Engineering, Data Integration, Extract Transform Load (ETL), Web Development, Health Information Management, Python (Programming Language), Knowledge Management, LabVIEW, NoSQL, Operational Data Store, Power BI, Software Engineering, SQL Databases, Tableau (Software), Web Application Frameworks, Enterprise Software Applications, Information Technology, C++14, Data Pipelines
- **Published:** June 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=02fdb552c664e0b2

## About the Role

Do you have a Bachelor's degree?, * Bachelor's degree in computer science, Software Engineering, or a related field

 * 2+ years of professional industry experience
 * Experience in data integration / data engineering (ETL/ELT, APIs, SQL/NoSQL)
 * 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)

## Description

* 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


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