Honeywell · 5 days ago
Sr Advanced Data Engineer
Peachtree City, GA
Full-time
Onsite
Senior Level
5+ years expHoneywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. The Sr Advanced Data Engineer will design and implement scalable data architectures for processing high-volume IoT sensor data, while leading the development of data pipelines and optimizing data processing for AI/ML workloads.
AerospaceElectronicsInformation TechnologyInnovation ManagementManufacturingService 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
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
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
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
Qualification
Required
Education- Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
5 plus years building production data pipelines in Databricks processing TB scale data
3 plus years 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 plus years experience and hands-on proficiency with PySpark for distributed data processing and transformation
3 plus 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
Preferred
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
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.
10001+ employees
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
Jim Masso
President & CEO - Honeywell Process Solutions
Vimal Kapur
Chairman and Chief Executive Officer
Recent News
GlobeNewswire
2026-01-12
Company data provided by crunchbase