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Honeywell is seeking a Senior Data Engineer for its Atlanta, GA location, focusing on building scalable data architectures and pipelines for AI and IoT applications. The ideal candidate will possess extensive experience in data engineering, particularly with Databricks and cloud platforms, and will work in a hybrid environment after an initial 90-day onsite requirement.
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Job Summary
As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell’s industrial customers, with a focus on IoT and real-time data processing.
You will report directly to our Data Engineering Manager and you’ll work out of our Atlanta, GA location on a Hybrid work schedule.
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package.
Matching Summary
Match Score: 75
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Honeywell is seeking a Senior Data Engineer for its Atlanta, GA location, focusing on building scalable data architectures and pipelines for AI and IoT applications. The ideal candidate will possess extensive experience in data engineering, particularly with Databricks and cloud platforms, and will work in a hybrid environment after an initial 90-day onsite requirement.
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Skills & Requirements
Must-have
Databricks production data pipelines
Medallion architecture with Delta Lake
PySpark for distributed data processing
Azure, GCP, and Databricks cloud platforms
CI/CD practices with Databricks Asset Bundles
RAG applications with vector databases
LangChain, LangGraph agentic frameworks
Nice-to-have
MLOps practices for AI model deployment
Time-series databases and IoT data modeling
Containerization (Docker) and orchestration (Kubernetes)