Data Engineer II

Honeywell Aerospace • Minneapolis, MN

2d

About The Position

As a Data Engineer II at Honeywell Aerospace, you will design, develop, and maintain data pipelines and ETL processes to ensure efficient, reliable data movement across the organization. You will optimize data workflows and support data integrity, enabling business intelligence, analytics, and decision-making. The role contributes to innovation and operational efficiency by making data a dependable organizational asset.

The description also emphasizes people leadership at Honeywell: building a strong, diverse team through recruiting, developing successors, supporting retention and engagement, and fostering an inclusive culture.

Requirements

• 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, or mathematics.
• At least 2 years of experience in data engineering or a related role.
• Proficiency in data warehousing tools and technologies, including ETL, SQL, and data integration.
• Understanding of database management systems and data warehouse architectures.

Nice To Haves

• Advanced degree in Computer Science, Data Management, or a 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 such as Python, Java, or Scala.
• Knowledge of data governance, security, and compliance.

Responsibilities

• Develop, construct, test, and maintain data architectures, including 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 redesigning infrastructure for greater scalability.
• Build infrastructure for extracting, transforming, and loading (ETL) data from a wide variety of sources.
• Collaborate with data scientists and architects on projects.
• Ensure data quality and integrity through testing and validation.
• Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.
• Recruit talent, identify and develop successors, support retention and engagement, and foster an inclusive culture.

Benefits

• 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.
• Educational assistance.
• Parental leave.
• 12 paid holidays.
• Paid time off for vacation, personal, and sick time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level