Job Description
Job DescriptionJob Description
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
- Lead the architecture and development of scalable data platforms on Databricks
- Drive the integration of GenAI capabilities into data workflows and applications
- Optimize data processing for performance, cost, and reliability at scale
- 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 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
- Mentor team members and provide technical leadership on complex data engineering challenges
- Establish data engineering best practices, including modular code design and reusable frameworks
- Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape
Qualifications
YOU MUST HAVE
- Education- Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
- 5+ years building production data pipelines in Databricks processing TB scale data
- 3+ years of experience implementing medallion architecture (Bronze/Silver/Gold) with Delta Lake, Delta Live Tables (DLT), and Lakeflow for batch and streaming pipelines from Event Hub or Kafka sources
- 3+ years of experience and hands-on proficiency with PySpark for distributed data processing and transformation
- 3+ years 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 Databricks Asset Bundles (DAB), Git workflows, GitHub Actions, and understanding of DataOps practices including data quality testing and observability
- Hands-on experience building RAG applications with vector databases, LLM integration, and agentic frameworks like LangChain, LangGraph
WE VALUE
- Experience building RAG and agentic architecture solutions 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
- Natural analytical mindset with demonstrated ability to explore data, debug complex distributed systems, and optimize pipeline performance at scale
U.S. PERSONS CONSIDERATIONS:
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
BENEFITS AT 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 Honeywell Benefits information visit: https://benefits.honeywell.com/
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: 11/11/2025
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.