Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 10 mins ago
Senior Backend Engineer
Acuity Inc.
Conyers, GA
Added 10 mins ago
Data Scientist Asc - Early Career
Lockheed Martin
Marietta, GA
A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast‑paced, global environments, possess excellent…
Added 10 mins ago
Lead Data Engineer
Honeywell Technologies
Atlanta, GA
…the data that powers that future starts here. As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the data foundations that enable physical AI at…
Added 18 mins ago
PN
Machine Learning Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $114,000 USD / year
PNNL is seeking a Machine Learning Engineer to implement and adapt research methods within shared software used by U.S. government stakeholders. You will work with researchers in areas such…
Added 18 mins ago
PN
Senior Machine Learning Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $140,200 USD / year
PNNL is seeking a Senior Machine Learning Engineer to implement, adapt, and mature research methods into software deployed primarily in unclassified sponsor environments. You will work…
Added 18 mins ago
PN
Lead Machine Learning Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $166,800 USD / year
PNNL is seeking a Lead Machine Learning Engineer to lead the development and evolution of software that brings emerging research methods into sponsor environments. You will work with…
Added 49 mins ago
Applied AI Engineer, Creative Experiences
Pika
Palo Alto, CA
This is a goal-driven applied research role, open to both full-time hires and interns. You'll take ideas from an initial opportunity through experimentation, implementation, and delivery,…
Added 49 mins ago
Forward Deployed Engineer, Applied AI
Pika
Palo Alto, CA
This is a full-time, hands-on, revenue-driven applied research role. Clear communication, professional client service, reliable delivery, and independent execution matter as much as…
Added 53 mins ago
C
ML / Applied Scientist
Cognizant
Phoenix, AZ
- $115,000 to $130,000 USD / year
As an ML / Applied Scientist, you will make an impact by developing machine learning models that power entity resolution, inference, and intelligent data classification across enterprise…
Added 53 mins ago
C
GCP data Engineer
Cognizant
Phoenix, AZ
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 53 mins ago
C
SR Data scientist /ML Engineer
Cognizant
Phoenix, AZ
- $110,000 to $125,000 USD / year
Partner with the Backend/Agent Engineer to expose matching/labeling models as callable tools within the agent orchestration layer.
Added 57 mins ago
AI Agent Engineer
Diversify
South Jordan, UT
The AI Agent Engineer is a hands-on builder responsible for turning well-defined business use cases into working, reliable agents. This role partners closely with the AI Ecosystem and…
Added 1 hour ago
Solutions Engineer, Chrome Scaled Solutions, gUP Chrome and Web Ecosystem, gTech
Google
Boulder, CO
Share Solutions Engineer, Chrome Scaled Solutions, gUP Chrome and Web Ecosystem, gTech
Added 1 hour ago
SoftwareEngineer - Applied Research & Technology
Acuity Inc.
Boulder, CO
As a Research Engineer in the Applied Research & Technology team at Acuity Intelligent Spaces, you will sit at the intersection of applied machine learning research, software engineering,…
Added 1 hour ago
Social Media Lead
Cognition
New York City, NY
WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS.
Added 1 hour ago
Paid Social & Influencer Lead
Cognition
New York City, NY
We are an applied AI lab building end-to-end software agents. We’re the makers of Devin, the first AI software engineer.
Added 1 hour ago
Senior Software Engineer - Internal AI Agent Infrastructure
Qualtrics
Seattle, WA
Follow the latest industry trend changes in AI tooling and research how they could be applied to the platform.
Added 1 hour ago
O
Principal Platform Software Engineer
Oracle
WA · CA
- $105,900 to $234,600 USD / year
As a senior software engineer in Generative AI Service team, you will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in…
Added 1 hour ago
HPE Labs - AI/ML Engineer (Technical Lead)
Hewlett Packard Enterprise
Milpitas, CA
…transition to operational ownership, bringing LLM, agentic, and applied AI approaches to bear where they…
Added 1 hour ago
A
Sr. Project Engineer
Actalent
Toledo, OH
- $110 to $150 USD / hour
Job Title: Project Engineer Marine Dock and TerminalJob Description
Added 2 hours ago
Senior Network Security Engineer
Applied Materials
Santa Clara, CA · Santa Clara
We are seeking a Senior Network Security Engineer with deep expertise in enterprise firewall architecture and engineering to design, implement, secure, and continuously improve Applied…
Added 2 hours ago
Senior Integration Software Engineer, Arene Applied Engineering
Woven by Toyota
Ann Arbor, MI
Arene Applied Engineering is a diverse team of engineers dedicated to helping Toyota build software defined vehicles utilizing the Arene platform and tools. Our work begins with a deep…
Added 2 hours ago
BT
AI Data Engineer - AI Training data
Blueprint Technologies
Redmond, WA · Bellevue, WA
- $150,000 to $160,000 USD / year
Collaborate with applied scientists and engineering teams to translate AI training requirements into scalable and repeatable data workflows.
Added 2 hours ago
Operations and Customer Quality Engineer
Applied Materials, Inc
Austin, TX
Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world.…
Added 2 hours ago
Data Solutions Architect - Data Platform, Data Products & AI-Ready Data
Applied Materials, Inc
Santa Clara, CA
As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies - like machine learning and AI - to craft novel software solutions that solve our customers’…

Honeywell Technologies

Lead Data Engineer

Atlanta, GA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 8+ years of data engineering experience with at least 2 years in a lead or senior role, demonstrating progression in technical complexity and team leadership.
Posting language: English
Posted: Nov 9, 2026

Original job description

Honeywell is accelerating its transformation from industrial automation to full autonomy and the data that powers that future starts here. As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the data foundations that enable physical AI at scale: from terabytes of IoT sensor telemetry streaming through our medallion lakehouse to production-grade Generative AI pipelines that deliver actionable intelligence across Honeywell's global industrial operations.

You will serve as a technical anchor for a team of engineers, shaping architecture decisions, building cutting edge AI solutions, raising engineering standards, and directly building the AI-ready data products that Honeywell's autonomy mission depends on. This role sits at the intersection of modern data engineering and applied GenAI, if you are energized by building systems that have real-world industrial impact, this is your role.

You will report directly to our Director, Data Engineering and you’ll work out of our Atlanta, GA location on a Hybrid work schedule.

Hybrid Work Schedule Note: For the first 90 days, New Hires must be prepared to work 100% onsite M-F

KEY RESPONSIBILITIES

Architecture & Technical Leadership

Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks (PySpark DLT, Lakeflow) using medallion Lakehouse architecture.
Design and optimize real-time ingestion pipelines from Azure Event Hub and Apache Kafka for high-volume industrial IoT telemetry.
Build fault-tolerant, idempotent streaming architectures handling schema evolution, backpressure, and latency SLAs.
Lead architecture reviews, set engineering standards, and drive decisions on data modeling, pipeline design, and platform evolution.
Define technical direction for AI-ready data products including vector stores, embedding pipelines, and RAG-ready structured/unstructured data.
Adopt emerging LLM orchestration frameworks (LangChain, LangGraph) to accelerate GenAI platform capabilities.

GenAI & AI Pipeline Development

Build production GenAI pipelines- RAG workflows, document ingestion, PII anonymization and vector database infrastructure.
Collaborate with data scientists and AI engineers to deliver high-quality, AI-ready datasets that improve downstream model performance.

DevOps, Security & Governance

Enforce data governance, access control, and security policies; lead PII detection and anonymization strategies across the data platform.
Champion CI/CD practices using GitHub Actions, DAB, Octopus, and Bamboo for automated, reliable pipeline delivery.
Ensure compliance with enterprise security standards within the SDLC.

Team Development & Stakeholder Engagement

Mentor engineers across seniority levels through code reviews, pairing, and technical coaching.
Translate business and AI product requirements into clear technical roadmaps and execution plans.
Partner with data scientists, product owners, and architects to align data investments with Honeywell's autonomy strategy.

YOU MUST HAVE

8+ years of data engineering experience with at least 2 years in a lead or senior role, demonstrating progression in technical complexity and team leadership.
Hands-on experience building and operating medallion lakehouse architectures (Bronze / Silver / Gold).
Deep expertise in Apache Spark / PySpark with production experience on Azure Databricks at scale.
Strong proficiency with streaming platforms - Apache Kafka and/or Azure Event Hub for real-time IoT data.
Cloud data architecture skills (Azure preferred; AWS/GCP a plus) with experience designing scalable, cost-effective data lakes and warehouses using cloud-native services.
Data modeling and schema design expertise for both transactional and analytical workloads, including dimensional modeling and data vault methodologies.
Proven experience building data pipelines for GenAI or ML applications: RAG systems, embedding pipelines, and document ingestion.
MLOps familiarity including model versioning, feature stores, and monitoring/observability for data and ML systems.
Demonstrated ability to lead technical design reviews, mentor engineers, and drive architectural decisions with stakeholder buy-in.
Proficiency in CI/CD using GitHub Actions for automating data pipeline deployments.

WE VALUE

Experience with LangChain, LangGraph, or other agentic AI orchestration frameworks.
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

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: November 9 2026.

Relocation support may be provided

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. Learn more (https://benefits.honeywell.com/)

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, 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 (https://www.honeywell.com/us/en)

THE BUSINESS UNIT

Corporate (CORP) at Honeywell provides centralized services and strategic leadership that supports all business units globally. This unit focuses on driving innovation, operational excellence, and enabling technology solutions that empower Honeywell’s diverse portfolio of businesses to achieve sustainable growth and competitive advantage.

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 (https://www.honeywell.com/us/en/company/inclusion-and-engagement)

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.

Apply About employer

Report this job