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Sr Automation Engineer

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Honeywell
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

In this role, you will impact the success of Honeywell’s automation & digital initiatives by driving the development and deployment of digital automation technologies that improve system performance and reliability.

At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture

KEY RESPONSIBILITIES
  • Develop End-to-End Manufacturing Applications
    Design, build, and maintain full stack applications that support manufacturing operations, including shop floor systems, dashboards, and digital workflows.
  • Integrate OT and IT Systems
    Develop secure and scalable integrations between Operational Technology (OT) systems (PLCs, SCADA, MES, CMMS) and enterprise IT systems (ERP, cloud platforms, data lakes).
  • Build Industrial Data Pipelines
    Create and manage real-time and batch data pipelines to ingest, normalize, and store machine and process data for analytics and decision-making.
  • Develop User Interfaces for Shop Floor and Operations
    Build responsive front-end applications (web/mobile) for operators, engineers, and plant leadership to monitor performance, quality, and equipment status.
  • Work with Industrial Protocols and Connectivity
    Implement and maintain connectivity using protocols such as OPC UA, MQTT, Modbus, REST APIs, and other industrial communication standards.
  • Support Manufacturing Digital Ecosystem
    Contribute to the development of a connected manufacturing ecosystem including MES, IIoT platforms, digital twins, and smart factory initiatives.
  • Implement Scalable Backend Services
    Design and develop APIs, microservices, and backend systems to support data processing, business logic, and system interoperability.
  • Enable Advanced Analytics and Insights
    Partner with data engineers and data scientists to enable predictive maintenance, quality analytics, and performance optimization solutions.
  • Ensure Cybersecurity and System Reliability
    Follow OT and IT cybersecurity best practices to secure manufacturing systems, ensure data integrity, and maintain high system availability.
  • Collaborate with Cross-Functional Teams
    Work closely with manufacturing engineers, controls engineers, IT, and operations teams to translate business needs into digital solutions.
  • Deploy and Maintain Cloud & Edge Solutions
    Support deployment of applications in cloud and edge environments (e.g., Azure IoT, AWS IoT Green grass) for distributed manufacturing environments.
  • Support Continuous Improvement Initiatives
    Identify opportunities to improve efficiency, reduce downtime, and enhance product quality through digital solutions.
  • Participate in Agile Development Processes
    Contribute to sprint planning, code reviews, testing, and continuous integration/continuous deployment (CI/CD) pipelines.
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