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Airlines Computer Science Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape ... Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or ...

Alaska Airlines

Manager, AI

Seattle, WA · On-site

$149K - $224K/yr

D. in AI, Data Science, Computer Science, Industrial Engineering, Statistics, or a related field ... Total Rewards Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by ...

United Airlines, Inc.

Senior Developer - IT

Chicago, IL · On-site

$56.25 - $74.25/hr

... airline in the history of aviation. Our team designs, develops and maintains massively scaling ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Management ...

DEUNA

Data Science intern

San Francisco, CA

S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape ... Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or ...

AeroVect

... Computer Science, Electrical Engineering, Aerospace Engineering, or other related technical disciplines * Experience with fostering a safety culture in the context of aviation / airline or robotics ...

CSC Generation

Staff Data Scientist- Pricing Science

... Computer Science, Operations Research, or a related quantitative field. Preferred : • Experience in e-commerce, retail, marketplace, or pricing-intensive industries such as airlines, ride-sharing ...

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All JobsAirlines Computer Science Jobs

Airlines Computer Science information

See salary details

$56.5K

$83.1K

$98K

How much do airlines computer science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for airlines computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

How does an Airlines Computer Science professional typically collaborate with other departments to ensure seamless operations?

In the airline industry, Computer Science professionals often work closely with teams such as operations, customer service, and maintenance to develop and maintain software systems that support flight scheduling, ticketing, and safety protocols. Collaboration often involves gathering user requirements, troubleshooting issues, and implementing updates that align with regulatory and customer needs. Being able to communicate technical concepts to non-technical stakeholders and adapt solutions for fast-changing operational demands is key. This cross-departmental teamwork ensures that technology supports efficient, safe, and customer-friendly airline services.

What are the key skills and qualifications needed to thrive as an Airlines Computer Science professional?

To thrive as an Airlines Computer Science professional, you need strong programming skills, knowledge of database management, and a degree in computer science or a related field. Familiarity with airline reservation systems, global distribution systems (GDS) like Amadeus or Sabre, and certifications in relevant software or cybersecurity are often required. Problem-solving abilities, attention to detail, and effective teamwork set exceptional candidates apart in this field. These skills ensure the reliability, security, and efficiency of critical airline technology systems, directly impacting operational success and customer satisfaction.

What is an Airlines Computer Science professional?

Airlines Computer Science jobs involve designing, developing, and maintaining software and systems that support airline operations. This includes work on reservation systems, flight planning, scheduling, ticketing, customer data management, and cybersecurity. Professionals in this field may also develop solutions for optimizing airline logistics, improving passenger experience, and automating various processes. These roles require strong programming skills, knowledge of databases, and an understanding of how technology supports the aviation industry. Airlines rely heavily on computer science experts to ensure safe, efficient, and seamless operations.

What is the difference between Airlines Computer Science vs Airlines Information Technology?

AspectAirlines Computer ScienceAirlines Information Technology
Required CredentialsBachelor's in Computer Science or related field, coding skillsBachelor's in Information Technology, network and system knowledge
Work EnvironmentSoftware development, data analysis, algorithm designNetwork management, hardware support, system administration
Employer & Industry UsageAirlines' tech departments, software vendorsAirlines' IT support, infrastructure teams

Airlines Computer Science focuses on software development, algorithms, and data analysis within airline tech teams, while Airlines Information Technology emphasizes network, hardware, and system support. Both roles are essential in airline operations but differ in technical focus and daily tasks.

More about Airlines Computer Science jobs
What cities are hiring for Airlines Computer Science jobs? Cities with the most Airlines Computer Science job openings:
What states have the most Airlines Computer Science jobs? States with the most job openings for Airlines Computer Science jobs include:
What job categories do people searching Airlines Computer Science jobs look for? The top searched job categories for Airlines Computer Science jobs are:
Airlines Computer Science jobs near you
Infographic showing various Airlines Computer Science job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 5% Temporary, and 21% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Re-posted 8 days ago

Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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