As a Data Engineer, you will be part of a high-performing global team delivering AI- and data-driven solutions for Honeywell’s industrial customers, with a focus on IoT and real-time data processing. In this role, you will architect and implement scalable data pipelines and platforms that enable advanced analytics and AI capabilities, including large-scale machine learning models, intelligent automation, and real-time inference. You will work closely with cross-functional engineering and product teams at the intersection of IoT telemetry and modern data technologies to develop reliable, high-impact industrial solutions.

You will report directly to our Data Engineering Manager and you’ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.

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

Data Ops:

• Implement Data Ops 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

YOU MUST HAVE

• Minimum 3 years of experience in data engineering with a strong grasp of Change Data Capture (CDC), ELT/ETL workflows, streaming replication, and data quality frameworks
• Deep expertise in building scalable data pipelines using Databricks, including Unity Catalog and Delta Live Tables
• Strong hands-on proficiency with Py Spark for distributed data processing and transformation
• Solid experience working with cloud platforms such as Azure, GCP, and Databricks, especially in designing and implementing AI/ML-driven data workflows
• Proficient in CI/CD practices using GitHub Actions, Bitbucket, Bamboo, and Octopus Deploy to automate and manage data pipeline deployments.

WE VALUE

• Experience building solutions on RAG and Agentic architectures and working with LLM-powered applications
• Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
• Knowledge of MLOps practices and experience building data pipelines for AI model deployment
• Experience with time-series databases and IoT data modeling patterns
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
• Strong background in data quality implementation for AI training data
• Experience working with distributed teams and cross-functional collaboration
• Knowledge of data security and governance practices for AI systems
• Experience working on analytics projects with Agile and Scrum Methodologies

BENEFITS OF WORKING FOR HONEYWELL

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. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here

ABOUT HONEYWELL

Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 4/3/2026