Advanced Data Engineer
Listed on 2026-01-30
-
Engineering
Data Science Manager -
Energy/Power Generation
As an Advanced Data Engineer at Honeywell, you will be at the forefront of building data-driven solutions that power our Smart Energy initiatives. Your work will enable intelligent energy management, optimize grid operations, and support sustainability goals through advanced data engineering practices. You will design and maintain scalable data systems that process large volumes of energy-related data, ensuring accuracy, reliability, and actionable insights for smarter energy decisions.
You will report directly to our Sr. Software Engineer Supervisor, and you’ll work out of our Raleigh, NC or 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
- Develop scalable data pipelines to ingest, process, and analyze energy consumption, grid performance, and IoT sensor data.
- Design architectures for structured and unstructured energy datasets to support predictive analytics and real‑time monitoring.
- Build and maintain ETL workflows for energy data sources, including smart meters and distributed energy resources.
- Work with big data frameworks (Spark, Databricks, AWS Glue) and cloud platforms (AWS, Azure) to enable high‑performance energy analytics.
- Optimize data workflows for energy efficiency, reliability, and cost‑effectiveness.
- Implement data governance and compliance standards for energy data security and regulatory requirements.
- Collaborate with energy analysts, data scientists, and business teams to deliver insights that improve grid resiliency and sustainability.
- Automate data processes and integrate with CI/CD pipelines for rapid deployment of energy solutions.
- Prepare data for advanced analytics and machine learning models that predict energy demand and optimize renewable integration.
- Document processes and enforce best practices in energy‑focused data engineering.
- Proven experience in data engineering for large‑scale, complex systems, preferably in energy or industrial domains.
- Strong knowledge of big data technologies and platforms such as Spark and AKS services.
- Proficiency in Python, scripting, and Terraform for cloud‑based energy solutions.
- Experience with data modeling, warehousing, and integration for energy datasets.
- Excellent problem‑solving and analytical skills to address energy efficiency and sustainability challenges.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Minimum 5 years of experience in data engineering or energy analytics.
- Ability to drive innovation in Smart Energy solutions and think strategically about energy transformation.
- Strong leadership and mentorship abilities.
- Passion for sustainability and emerging technologies in energy management.
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:
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:
January 22, 2026.
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,…
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