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Data Engineering Airline Jobs (NOW HIRING)

United Airlines

Data Engineer

Bridgewater, NJ · On-site

$117K - $140K/yr

... Engineering At least four years of experience designing and delivering data engineering solutions with Databricks Ability to independently define and deploy an end to end data architecture that ...

United Airlines

GCP API Data Engineer

Nashville, TN · On-site

$76K/yr

Your skills and experience Required 10+ years of IT experience with 5+ years in Data Engineering. 2+ years of hands-on experience with Google Cloud Platform. Strong experience with BigQuery, Cloud ...

Psa Airlines

Director of Engineering

Charlotte, NC · On-site

Overview Let your career take off with PSA Airlines About PSA PSA Airlines, a wholly owned ... Ensures integrity and control of aircraft configuration data, including oversight of configuration ...

New

PSA Airlines

Director of Engineering

Charlotte, NC

Let your career take off with PSA Airlines About PSA PSA Airlines, a wholly owned subsidiary of ... Ensures integrity and control of aircraft configuration data, including oversight of configuration ...

New

PSA Airlines

Director of Engineering

Charlotte, NC · On-site

Overview Let your career take off with PSA Airlines About PSA PSA Airlines, a wholly owned ... Ensures integrity and control of aircraft configuration data, including oversight of configuration ...

New

United Airlines

Data Engineer (AWS & Snowflake)

Atlanta, GA

$110K - $132K/yr

Required Skills Bachelors degree in Computer Science Engineering or related field Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT Strong analytical ...

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All JobsData Engineering Airline Jobs

Data Engineering Airline information

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$46K

$165K

$243.5K

How much do data engineering airline jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data engineering airline in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What do Data Engineers do in the airline industry?

Data Engineers in the airline industry are responsible for designing, building, and maintaining data pipelines and systems that process large volumes of flight, passenger, and operational data. They ensure that data is collected from different sources, cleaned, and stored efficiently for analysis by data scientists and business analysts. Their work supports critical airline functions such as route optimization, predictive maintenance, customer experience, and revenue management. Data Engineers often work with technologies like SQL, Python, cloud platforms, and big data tools to enable real-time and large-scale data processing. Their contributions help airlines make informed decisions and improve operational efficiency.

What is the difference between Data Engineering Airline vs Data Analyst Airline?

AspectData Engineering AirlineData Analyst Airline
Primary RoleBuilds and maintains data pipelines, infrastructure, and databasesAnalyzes data to generate reports and insights
Required SkillsProgramming, database management, ETL processesData visualization, statistical analysis, SQL
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)
Work EnvironmentTechnical teams, data infrastructure projectsBusiness units, reporting and decision-making teams

Data Engineering Airline focuses on building and maintaining the data infrastructure essential for airline operations, while Data Analyst Airline interprets data to support business decisions. Both roles require strong technical skills, but their daily tasks and objectives differ significantly.

What are the key skills and qualifications needed to thrive as a Data Engineer in the airline industry, and why are they important?

To thrive as a Data Engineer in the airline industry, you need strong skills in data modeling, ETL development, and proficiency in programming languages like Python or SQL, typically backed by a degree in computer science or a related field. Familiarity with data warehousing solutions (like Snowflake or Redshift), big data tools (such as Hadoop or Spark), and cloud platforms is highly valued, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help in understanding business needs and working with cross-functional teams. These skills ensure the efficient processing and integration of complex airline data, leading to better business insights and operational efficiency.

What are some common challenges data engineers face when working in the airline industry, and how can they prepare for them?

Data engineers in the airline industry often deal with large volumes of real-time data from diverse sources such as booking systems, flight operations, and customer interactions. A common challenge is ensuring data quality and consistency across these sources while maintaining system performance and compliance with regulations. To prepare, candidates should familiarize themselves with scalable data architectures, real-time data processing tools, and industry-specific privacy requirements. Strong collaboration with data scientists, IT, and operations teams is also crucial for delivering actionable insights and supporting business-critical decisions.
Infographic showing various Data Engineering Airline job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist - Network Planning

Data Scientist - Network Planning

Kforce Technology Staffing

Queens, NY

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in Long Island City, NY that is seeking a Data Scientist - Network Planning.
Summary:
We are seeking a Data Scientist to support network planning, scheduling, and forecasting initiatives. This role focuses on developing data-driven solutions to optimize routes, improve operational efficiency, and support strategic planning decisions. The ideal candidate brings strong analytical and machine learning experience, with exposure to transportation, logistics, or airline operations highly preferred.
Key Responsibilities:
* Partner with business stakeholders to support network planning, route optimization, and scheduling decisions
* Perform exploratory data analysis, feature engineering, and model development
* Build and deploy machine learning and optimization models to improve forecasting and operational efficiency
* Analyze large datasets to identify trends and provide actionable insights for planning and strategy
* Collaborate with data, engineering, and infrastructure teams to support scalable data and model solutions
* Develop visualizations and reports to communicate findings to both technical and non-technical audiences
* Follow best practices in coding, testing, and model lifecycle management
REQUIREMENTS:
* Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
* 3+ years of experience in data science, analytics, or machine learning
* Proficiency in Python, SQL, and common data science/machine learning libraries
* Experience building and evaluating machine learning models
* Strong analytical and problem-solving skills
* Ability to communicate complex findings clearly to business stakeholders
Preferred Qualifications:
* Experience in airline, transportation, logistics, or similar industry
* Experience with forecasting, scheduling, or route optimization
* Strong background in optimization techniques (for at least one role)
* Familiarity with tools such as Spark/PySpark, Databricks, or cloud platforms
* Experience with time series modeling or operations-focused analytics
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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