Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
About the role
- Advanced Data Engineer developing scalable data systems for energy management and analytics at Honeywell. Working in a hybrid role from Raleigh, NC or Atlanta, GA with collaboration across teams.
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 integration across multiple 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.
Requirements
- 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
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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