Data Engineer II

As a Data Engineer II here at Honeywell Aerospace, you will play a key role in designing, developing, and maintaining data pipelines and ETL processes to ensure the efficient and reliable movement of data across the organization. Your expertise will be critical in optimizing data workflows and ensuring data integrity, enabling the organization to make data-driven decisions and achieve operational excellence.

In this role, you will impact the organization by ensuring the seamless flow of data, which is essential for business intelligence, analytics, and decision-making processes. Your contributions will help drive innovation and efficiency, making data a pivotal asset for the company.

At Honeywell Aerospace, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.

KEY RESPONSIBILITIES

• Develop, construct, test, and maintain data architectures, such as databases and large-scale processing systems
• Assemble large, complex data sets that meet functional and non-functional business requirements
• Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources
• Collaborate with data scientists and architects on several projects
• Ensure data quality and integrity through rigorous testing and validation
• Monitor and troubleshoot data pipelines and systems to ensure high availability and performance

YOU MUST HAVE

• Must be a US Citizen due to contractual requirements
• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• 2+ years of experience in data engineering or a related role
• Proficiency in data warehousing tools and technologies (ETL, SQL, data integration)
• Understanding of database management systems and data warehouse architectures

WE VALUE

• Advanced degree in Computer Science, Data Management, or related field
• Strong analytical and problem-solving skills
• Experience with big data technologies and platforms, such as Hadoop, Spark, and Kafka
• Proficiency in programming languages like Python, Java, or Scala
• Knowledge of data governance, security, and compliance

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.

BENEFITS

• Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're eligible for a comprehensive benefits package that includes:
• Employer-subsidized medical, dental, vision and life insurance
• Short-term and long-term disability coverage
• 401(k) match, flexible spending accounts and health savings accounts
• Employee assistance program and educational assistance
• Parental leave and 12 paid holidays
• Paid time off for vacation, personal and sick time
• Explore your benefits: https://honeywellaerospacebenefits.com/
• 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.