Data Engineer

As a Data Engineer you will be part of a high-performing global team delivering AI- and data-driven solutions for Honeywells industrial customers with a focus on IoT and real-time data 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 youll work out of our Atlanta GA location on a Hybrid work schedule.

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
  

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 PySpark 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

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: 2/10/2026

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the worlds 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 about Honeywell: click here

THE BUSINESS UNIT

Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization sustainability and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywells domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018 HCE established the category of intelligent operations and built a new platform born out of decades of operational data and insights uniting real-time data across assets people and processes into a system of record for a 360-degree view. This is our flagship offering - Honeywell Forge. We are a global team of thousands of innovators with expertise spanning industrial operations software engineering data science artificial intelligence and process engineering. We are paving the way for our customers to grow responsibly. We believe the future is what we make it. As a Honeywell Futureshaper you are a part of something bigger. You can work with highly capable people to make the world a better place and become the best you. After all we are not imagining the future; were building it. To learn more please click here

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age race creed color national origin ancestry marital status affectional or sexual orientation gender identity or expression disability nationality sex religion or veteran status. Learn more about inclusion and diversity: click here