Lead Data Engineer

Lead Data Engineer For Electronic Systems Engineering

Be part of a team that designs, develops and integrates highly complex software functions within Honeywell Aerospace. As a Lead Data Engineer for Electronic Systems Engineering, you will be responsible for planning, coordinating, and executing Software Quality data strategy and analytics across multiple organizations and global design centers. This role will establish a unified, data-driven framework that enhances software quality performance, transparency, and decision-making across Electronic Systems.

The individual will serve as a bridge between engineering teams and senior leadership, ensuring that software quality insights are accurate, actionable, automated, and consistently communicated.

Leading the software quality initiative via data monitoring, action identification, and multi-level readout will require multiple aspects:

• Drive Software Quality Data Strategy: Define and manage a unified data framework, ensuring consistent metrics, governance, and data quality across ES Engineering organizations and design centers.
• Build Intelligent Dashboards: Develop automated, real-time dashboards and analytics pipelines that highlight software quality performance, risks, and improvement opportunities.
• Automate Workflows: Create and maintain automated data flows, alerts, and action triggers that enable a proactive, data-driven approach to quality management.
• Coordinate Across Organizations: Align software quality planning and execution across multiple engineering teams, programs, and sites to ensure standardization and transparency.
• Communicate to Leadership: Provide clear, data-driven insights, trends, and recommendations to senior leadership; deliver recurring updates that support decision-making and strategic direction.
• Enable Continuous Improvement: Identify systemic quality issues, streamline processes, and introduce innovative data solutions to strengthen software quality for internal and external customers.

You must have:

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline; advanced degree preferred.
• 8+ years of experience in data engineering, software quality, or software development in complex embedded or regulated environments.
• Deep experience with data engineering tools and technologies (SQL, Python, ETL frameworks, data modeling, cloud platforms).
• Demonstrated expertise designing scalable dashboards and automated analytics workflows (e.g. Tableau).
• Strong understanding of software development life cycles (SDLC), quality processes, and defect management.

US Person Requirements:

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.

We value:

• Advanced degree in Data Science, Computer Science, or a related field
• Experience in aerospace, defense, or safety-critical environments.
• Strong problem-solving skills and the ability to translate complex data requirements into scalable solutions
• Knowledge of data governance and data quality best practices
• Familiarity with DO-178C, CMMI, or similar software quality frameworks.
• Experience integrating data from engineering tools (e.g., JIRA, Git, DOORS, or test automation frameworks).
• Background in predictive analytics, machine learning, or anomaly detection for software quality.