Honeywell

Data Engineer

Honeywell

full-time

Posted on:

Location Type: Hybrid

Location: Raleigh • North Carolina • United States

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Tech Stack

AWSAzureCloudETLIoTPythonSparkTerraform

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringETL workflowsdata modelingdata warehousingbig data frameworksPythonscriptingTerraformpredictive analyticsmachine learning
Soft Skills
problem-solvinganalytical skillsleadershipmentorshipinnovationstrategic thinkingcollaborationcommunicationpassion for sustainabilityadaptability