Data Engineer I

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Offered From the posting source checked Jun 20, 2026

Verification

Not verified checked Jun 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

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

Read the full description at icfcjb.fa.ocs.oraclecloud.com. FewerJobs shows a preview and links to the original posting.