Honeywell · 12 hours ago
Data Engineer
Honeywell is a leading software-industrial company focused on addressing critical challenges through innovative technologies. They are seeking a Data Engineer to design and implement scalable data architectures for AI and IoT solutions, working closely with cross-functional teams to develop high-impact industrial solutions.
AerospaceElectronicsManufacturingInformation TechnologyInnovation ManagementService Industry
Responsibilities
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
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
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
Qualification
Required
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
Preferred
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
Employer-subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)
12 Paid Holidays
Company
Honeywell
Honeywell is a technology and manufacturing company that produces products for the automation, aviation, and energy transition industries.
H1B Sponsorship
Honeywell has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (200)
2024 (183)
2023 (134)
2022 (219)
2021 (189)
2020 (160)
Funding
Current Stage
Public CompanyTotal Funding
$11.4M2009-10-27Grant· $11.4M
1985-09-27IPO
Leadership Team
Recent News
IndiaTimes
2026-02-06
2026-02-06
Company data provided by crunchbase