Data Engineer I
Honeywell - Phoenix, AZ, United States
Posted Apr 29, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineer I Phoenix, AZ, United States Data Engineer I Phoenix, AZ, United States TRENDING Job Description 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 As a Data Engineer you will play an essential role in developing and refining data pipelines that facilitate the smooth and efficient flow of information across various systems. Your efforts will be pivotal in enhancing the organization's ability to access and utilize critical financial data seamlessly. Your primary focus will be on creating robust, scalable solutions that ensure the real-time delivery and automated processing of data from our diverse data sources to endpoint solutions. You will report directly to our Manager and you'll work out of our Phoenix, AZ location on a Hybrid work schedule. You will be required to work onsite five days per week during the first 90 days of employment, followed by a transition to a hybrid schedule. Responsibilities Key Responsibilities: • Design, develop, and maintain data pipelines from the Snowflake environment to support efficient data flow and processing. • Ensure the reliability and performance of data pipelines and troubleshoot any issues that arise. • Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications. • Implement and manage ETL processes using
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Apply link verified; last checked Jun 13, 2026.
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