Jobs · Engineering · Arizona

Data & Digital Solutions Engineer

ASM · Greater Phoenix Area · 2 wk ago
EngineeringFull-time

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
  • 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
  • Able 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)

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