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    Randstad Sourceright NA for Honeywell

    Automation and Control Solutions

    Sr Data Engineer

    Atlanta, United StatesHybridFull-time5+ yrs experiencePosted 3w ago
    All Randstad Sourceright NA for Honeywell jobs

    Job description

    As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI and data solutions for Honeywell’s industrial customers, with a focus on IoT and real-time data processing. In this role, you will design and implement scalable data architectures and pipelines that enable next-generation AI capabilities, including large-scale machine learning models, intelligent automation, and real-time analytics. You will work closely with cross-functional teams to transform high-volume IoT telemetry into reliable, actionable insights that support Honeywell’s connected industrial solutions.

    You will report directly to our Data Engineering Manager and you’ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.

    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

    • Minimum 5 years of experience building production data pipelines in Databricks processing TB scale data
    • Extensive 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
    • Strong hands-on proficiency with PySpark for distributed data processing and transformation
    • Strong 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
    • Natural analytical mindset with demonstrated ability to explore data, debug complex distributed systems, and optimize pipeline performance at scale

    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

    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.

    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, 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.

    THE BUSINESS UNIT

    Honeywell Connected Enterprise (HCE) is the software division of Honeywell with a strategic focus on digitization, sustainability, and OT Cybersecurity SaaS offerings and solutions. HCE was established to leverage Honeywell’s domain expertise and lead the transition into a cutting-edge industrial software company. Since our inception in 2018, HCE established the category of intelligent operations and built a new platform born out of decades of operational data and insights, uniting real-time data across assets, people, and processes into a system of record for a 360-degree view. This is our flagship offering - Honeywell Forge. We are a global team of thousands of innovators with expertise spanning industrial operations, software engineering, data science, artificial intelligence, and process engineering. We are paving the way for our customers to grow responsibly. We believe the future is what we make it. As a Honeywell Futureshaper, you are a part of something bigger. You can work with highly capable people to make the world a better place and become the best you. After all, we are not imagining the future; we’re building it.

    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: 4/7/2026

    About Us

    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.

    Job details are sourced from the employer's original posting.

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    About the company

    Randstad Sourceright NA for Honeywell

    Honeywell Automation and Control Solutions (ACS) team members are part of a global, 65,000-employee network of smart and entrepreneurial, hard-working and inquisitive professionals who solve problems every single day. Put simply, our employees create safer, more energy efficient, more secure and more productive environments for our customers around the world.  ACS turnout gear protects firefighters from extreme temperatures; our thermostats keep homeowners comfortable; our security systems ensure the safety and security of facilities from backyard sheds to Las Vegas casinos; our rugged mobile computers track packages and goods as they are shipped across the globe; our sensors measure temperature and pressure in hemodialysis machines and other medical devices.   ACS energy management services have helped big-box retailers achieve double-digit reductions in their peak energy demand, and our process control systems are used in the world's top 50 oil refineries. As much as we are a product and solutions company, we are a technology company. In fact, our technology is in 150 million homes and 10 million buildings. Based in Minneapolis, Minnesota, with operations in more than 100 countries , ACS is organized into seven strategic business units -- five focused on products and two on services and solutions. ACS is an approximately $15 billion division of Honeywell, a Fortune 100 industrial technology company based in Morristown, New Jersey. We'd love to have you consider coming to work with us. We are Honeywell!

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