Sr AI Data Engineer

As a Sr Data Engineer here at Honeywell you will play a crucial role in designing and implementing advanced data solutions for AI solutions that drive business insights enhance decision-making processes and empower AI solutions. Your expertise will help in critical data science development activities across all AI modalities (classic Gen and agentic) and data types (structured and unstructured).

You will report directly to our AI Director and youll work out of our Phoenix AZ or Charlotte NC location on a Hybrid work schedule.

In this role you will impact the organization by leveraging your technical skills to develop innovative data solutions that support strategic initiatives and improve operational efficiency.

KEY RESPONSIBILITIES

• Support endtoend data needs forall AI modalities including classic ML GenAI/LLMs and agentic AI systems.
• Build robust scalable data pipelines forstructured semistructured and unstructured data including text documents images audio video and logs.
• Develop feature engineering pipelines for classic ML including feature extraction transformation and feature store management.
• Build and optimizeGenAI and LLM data pipelines including embedding generation vectorization chunking metadata extraction and document enrichment for RAG and context retrieval.
• Develop data ingestion and orchestration workflows that supportagentic AI including memory stores event-driven pipelines tool-use data flows and real-time retrieval services.
• Design and implement advanced data solutions usingAWS (S3 Glue Lambda EMR Kinesis) Databricks (Spark Delta Lake Vector Search) and Dataikuto enable intelligent systems at scale.
• Implement data governance quality lineage monitoring and observability to support high-performance trustworthy AI.
• Partner with data scientists ML engineers and AI product teams to deliver datasets for model development finetuning evaluation and production inference.
• Optimize pipelines for latency cost reliability and throughput ensuring AI systemsfrom batch ML to real-time agentshave the data they need.

YOU MUST HAVE

• Bachelors degree from an accredited institution in a technical discipline such as science technology engineering mathematics.
• 5 or more years of experience in data engineering distributed data systems or ML data pipelines.
• Strong experience working withApache Spark preferably in Databricks.
• Proficiency in Python and SQL; experience with distributed computing and big data frameworks.
• Hands-on experience withcloud-based ETL/ELT pipelines preferably AWS (S3 Glue Lambda EMR Step Functions Redshift Athena).
• Experience building data solutions that supportmultiple AI workloads including:
  • ML training and inference data flows
  • Unstructured data ingestion and transformation
  • Embedding/vector pipelines for LLMs
• Experience working with data modeling data integration ETL/ELT frameworks and reliable production-grade pipelines.

WE VALUE

• Bachelors degree in a technical field (CS Engineering Math or related).
• Experience supporting AI at scale acrossclassic ML GenAI/LLM and agentic AI systems.
• Experience with vector databases and semantic search (Databricks Vector Search Pinecone FAISS Milvus OpenSearch).
• Familiarity withLLM and GenAI data preparation including:
  • Text processing
  • Tokenization
  • Chunking strategies
  • Prompt/context formatting
• Experience with unstructured data technologies (OCR NLP pipelines computer vision data processing).
• Hands-on experience with Dataiku for automation workflow orchestration and AI project management.
• Knowledge of MLOps tooling: MLflow Delta Lake experiment tracking CI/CD for ML.
• Understanding ofagentic AI system patterns such as memory architectures tool APIs event-driven workflows and reasoning chain data requirements.
• Strong analytical mindset attention to detail and commitment to high data quality.
• Ability to thrive in a fast-paced evolving AI environment and collaborate across cross-functional teams.

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. Posting Date: February 18 2026

US PERSON REQUIREMENT

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.

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 Aerospace Technologies (AT) products and services are found on virtually every commercial defense and space aircraft in the world. We build aircraft engines cockpit and cabin electronics wireless connectivity systems mechanical components and more and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel more fuel-efficient and better-maintained aircraft more direct and on-time flight arrivals safer skies and airports and more comfortable flights along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21000 employees globally. To learn more please visit click here.

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