Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Atlanta Area, GA
Live, first seen by us 32 days agoEmployment Type: Permanent Experience Level:
Employment type in the employer’s posting: Full timeFrom the employer’s posting
As a matter of policy, Airbus does not sponsor visas for US positions unless specified
Build and improve the model integration pipeline and its data workflows
Support partners in retrieving aircraft data such as parameters and logbooks
Integrate partners' maintenance models into the Skywise ecosystem
Research R&D topics and propose AI/ML possibilities and architectures
Build and improve the model integration pipeline, focusing on automating data workflows
helping them retrieve aircraft data (parameters, logbooks)
integrate their maintenance models into our ecosystem
Autonomously research R&D topics, proposing new AI/ML possibilities and technical architectures
- Communicator: Proficiency in English to explain complex technical solutions to both fellow engineers and non-technical stakeholders. - Education: Bachelor's or Master's degree in Computer Science, Data Science or related field, or equivalent professional experience. - Experience: Required: Minimum 2+ years experience (or MS equivalent).
From the employer’s posting.
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$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 32
Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
40 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Aviation Knowledge: You understand basic aircraft systems, the types of parameters they generate, and the sensors (temperature, vibration, pressure) used to monitor flight health. - Tech Skills: You have basic experience (or an MS equivalent) with coding, preferably: Python, SQL, and Regex. - Analytical Mindset: You can look at a data set and enjoy the detective work required to understand what stands behind them.
- Analytical Mindset: You can look at a data set and enjoy the detective work required to understand what stands behind them. - Open to Learning: You are excited to master tools like Palantir Foundry, Apache Spark (PySpark), and specialized python frameworks which stand behind skywise platform. - Communicator: Proficiency in English to explain complex technical solutions to both fellow engineers and non-technical stakeholders.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at USCareers@airbus.com
Job Description:
Skywise is a leading digital services company, wholly owned by Airbus. We deliver a first-of-its-kind offer that seamlessly integrates Planning & Operations Control, Flight, Technical, and Ground Operations. By providing interoperable digital solutions for end-to-end operations, Skywise combines aircraft manufacturer expertise and digital know-how to transform operational complexity into predictable and profitable performance, ensuring resilient and more sustainable operations.
As an Asset Integration Engineer, you will be the technical bridge between Skywise and global partners like Delta TechOps, GE Aerospace, Collins Aerospace and Liebherr. You will help them integrate their expert predictive models into Skywise, the backbone of Airbus data infrastructure, to make global aviation safer and more sustainable.
Responsibilities:
Must Haves:
What we Offer:
As part of the family, you’ll get to enjoy the following benefits:
AI Disclosure: No artificial intelligence tools are used to screen, assess, or select candidates for this role
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
NAVBLUE US, Inc.Employment Type:
PermanentExperience Level:
ProfessionalRemote Type:
FlexibleJob Family:
Digital <JF-IM-DI>------
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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
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Atlanta Area, GA
Professional Remote Type: Flexible
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