Join a team recognized for leadership, innovation and diversity
The future is what you make it.
Honeywell is seeking a Senior Data Engineer to join our dynamic global team in delivering cutting-edge AI/ML data products for industrial customers. In this role, you will design and implement scalable data pipelines, enabling next-generation AI solutions such as Large Language Models (LLMs), autonomous agents, and real-time inference systems. With a strong focus on IoT and real-time data processing, you will work at the intersection of industrial telemetry data and modern AI technologies to develop innovative, high-impact solutions. Join us in shaping the future of industrial AI.
LOCATION: Atlanta, GA
Are you ready to help make the future with us?
You will have the opportunity to work on challenging projects, leverage the latest AI technologies, and make a significant impact on optimizing operations and driving growth for our customers. The role offers professional growth, collaboration with experts, and the chance to be at the forefront of AI-driven industrial solutions.

KEY RESPONSIBILITIES:

Data Engineering & AI Pipeline Development:

• Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
• Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
• Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
• Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference

DataOps:

• Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
• Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
• Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
• Design and maintain automated documentation systems for data lineage and AI model provenance

Collaboration & Innovation:

• Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
• Drive continuous improvement in data engineering practices and tooling
• Establish best practices for data pipeline development and maintenance in AI contexts
• Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape

Benefits provided may differ by role and location. Learn more at benefits.honeywell.com.

• Unlimited Vacation Plan with No Preset Maximums
• Flexible Hybrid Work Schedule
• Medical/Rx Health Savings Account (HSA)
• Dental/Vision
• Short/Long-Term Disability
• Employee Assistance Program (EAP)
• 401(k) Plan
• Education Assistanc