Advanced Software Engr

About us

Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century.

At Honeywell Aerospace (NASDAQ

HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution.

Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.

Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next.

Every horizon. Every mission. Every day.

Job Description

Advance Software Engineer – Data Visualization, AI & Automation

Role Summary

We are looking for an Engineer II – Data Visualization, AI & Automation to design and deliver data-driven solutions that convert complex business information into actionable insights and automate repetitive business processes.

The ideal candidate will combine strong Power BI and data visualization skills with hands-on experience in automation, Python, AI/GenAI technologies, and the Microsoft Power Platform.

This role requires an engineering mindset

understanding business problems, designing scalable solutions, developing and testing them, deploying them reliably, and continuously improving them.

Key Responsibilities

Data Visualization & Business Intelligence

• Design, develop, and maintain interactive Power BI dashboards and reports for operational and business decision-making.
• Translate business requirements and KPIs into intuitive, actionable visualizations.
• Build efficient semantic/data models, measures, calculated columns, and business logic using DAX.
• Perform data transformation and preparation using Power Query / M.
• Integrate data from sources such as SQL databases, Excel, SharePoint, APIs, and enterprise applications.
• Apply appropriate visualization principles, drill-downs, filtering, navigation, and storytelling techniques.
• Improve report performance, usability, maintainability, and data quality.

AI & Generative AI

• Develop prototypes and solutions that apply AI/Generative AI to business and engineering use cases.
• Build AI-assisted workflows for activities such as information retrieval, summarization, classification, knowledge discovery, and productivity enhancement.
• Integrate AI capabilities with existing dashboards, applications, or automated workflows where they provide measurable value.
• Evaluate AI-generated output for accuracy, reliability, security, and suitability for the intended business use.
• Stay current with evolving technologies such as Microsoft Copilot, Azure AI services, Azure OpenAI, and AI-enabled Power Platform capabilities.

Automation

• Identify opportunities to eliminate repetitive manual activities through automation.
• Design, develop, test, document, deploy, and maintain automated workflows.
• Build solutions using technologies such as Power Automate, Python, Power Apps, APIs, and scripting.
• Develop reusable automation components and standardized solutions rather than one-off scripts where appropriate.
• Troubleshoot automation failures and implement appropriate exception handling, logging, and monitoring.
• Continuously improve existing automation solutions based on user feedback and changing requirements.

The internal automation JD similarly calls for engineers to build high-quality automation solutions, write and document code, address escalations, identify system improvements, and stay current with technology.

Data & Engineering

• Write efficient SQL queries for extraction, transformation, validation, and analysis of data.
• Use Python for data manipulation, automation, API integration, and AI-based solutions.
• Understand data structures, relationships, APIs, and common integration patterns.
• Follow software engineering practices including version control, code reviews, testing, documentation, and release management.
• Diagnose issues across the data, application, visualization, and automation layers.
• Design solutions with maintainability, scalability, security, and performance in mind.
• Collaboration & Ownership
• Work directly with business stakeholders, product owners, analysts, and engineering teams to understand problems and translate them into technical solutions.
• Participate in solution design, estimation, development, testing, deployment, and production support.
• Demonstrate ownership of assigned features and solutions from requirement through delivery.
• Clearly communicate technical concepts and analytical findings to technical and non-technical stakeholders.
• Create technical documentation and support knowledge sharing within the team.
• Support junior engineers through peer reviews and technical guidance when required.

This collaborative/engineering emphasis is consistent with the internal automation profiles, which call for working with functional SMEs, supporting enhancements, troubleshooting, documenting solutions, and sharing knowledge.

Required Skills & Experience

Core technical skills

• Strong hands-on experience with Microsoft Power BI
• Strong understanding of data visualization and dashboard design
• Proficiency with DAX and Power Query
• Good working knowledge of SQL
• Programming or scripting experience with Python
• Experience developing workflow/process automation, preferably using Microsoft Power Automate
• Understanding of REST APIs, JSON, and system/data integration
• Working knowledge of AI / Generative AI concepts and practical business applications
• Strong analytical and problem-solving skills

Engineering capabilities

• Ability to convert ambiguous business requirements into structured technical solutions.
• Ability to independently develop and troubleshoot moderately complex solutions.
• Understanding of software development lifecycle and Agile engineering practices.
• Experience with testing, debugging, technical documentation, and production support.

The internal automation role specifically calls out coding logic, process decomposition, exception handling, analytical ability, identifying problems, and a strong technical/development background.

Preferred / Good-to-Have Skills

• Microsoft Fabric
• Azure Data Factory
• Azure AI / Azure OpenAI
• Microsoft Copilot Studio
• Power BI
• Microsoft Dataverse
• Git / Azure DevOps
• Experience with RAG, embeddings, vector search, or LLM-based applications
• Experience building governed enterprise BI or AI solutions