Provide advanced engineering support to development, production, and customers by troubleshooting technical issues, coordinating with engineering teams, maintaining technical documentation, and supporting product deployments and tests.
About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.
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Provide advanced engineering support across Honeywells Aerospace, Building Automation, Energy, and Industrial Automation segments. Troubleshoot technical issues, coordinate with product and customer teams, and help deploy Honeywell Forge software and solutions to improve safety, automation, and sustainability.
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer accounts as a trusted technical advisor, driving platform adoption, measurable business value, and technical ROI. Develop success plans, troubleshoot complex hardware, software, and API issues, manage escalations, conduct root-cause analysis, and lead technical reviews. Collaborate with Sales, Support, Product, and Engineering while communicating effectively with technical and executive stakeholders. Use AI tools to improve customer insights and outcomes, and contribute to knowledge sharing and team development.
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AIAPIsGainsightGongInternet Of Things (Iot)JIRAPaasPythonSaaSSalesforceTableauZendesk
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Principal Data Engineer responsible for setting enterprise data-platform strategy and architecture across multiple teams. Defines standards for Databricks, Spark, dbt, DataOps, CI/CD, and observability; leads platform architecture, technology evaluations, migration, scalability, deployment, and cost strategy. Resolves complex cross-cutting data challenges, mentors senior engineers, influences architecture decisions, and partners with leadership on long-term roadmaps.
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