Pay
Lower than most similar jobs
$94.1K–$123K against $127K–$190K, the middle half of what similar US postings state.
From 2,209 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Chicago, Illinois, United States
Actively hiring, first seen by us 5 days ago- Pay
$94,145–122,550/year · BaseAnnual period assumed — pay source
Strong understanding of machine learning workflows, along with MLOPs tools and practices for managing ML workflows at scale The base pay range for this role is $94,145.00 to $122,550.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Must be legally authorized to work in the United States for any employer without sponsorship
What you’ll work on
Full postingDesign and develop batch and real-time data pipelines using Spark, Python, Databricks and Flink
Establish and maintain scalable containerized and serverless platforms on AWS
Monitor, troubleshoot and optimize critical data infrastructure
Design data ingestion processes and optimize data storage solutions
Collaborate with cross-functional teams to turn business requirements into data solutions
From the employer’s posting
Design and develop resilient batch and real-time data pipelines using Spark, Python, Databricks, and Flink
Establish and maintain scalable containerized and serverless platforms, develop automation tools and applications using the AWS ecosystem
proactively monitor, troubleshoot, and optimize critical data infrastructure
This includes designing data ingestion processes, optimizing data storage solutions, and ensuring data quality and integrity
Collaborate effectively with cross-functional teams to translate business and technical requirements into practical solutions
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
- Bachelor’s degree in a field relevant to Machine Learning
- Experience deploying machine learning pipelines into production
- 2+ years experience in data engineering or related roles
- 3+ years experience in data engineering or related roles
- Strong understanding of machine learning workflows, along with MLOPs tools and practices for managing ML workflows at scale
Qualification wording
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
Bachelor’s degree in a field relevant to Machine Learning
Experience deploying machine learning pipelines into production
2+ years experience in data engineering or related roles
3+ years experience in data engineering or related roles
Strong understanding of machine learning workflows, along with MLOPs tools and practices for managing ML workflows at scale
Education & alternatives
What’s needed to succeed (Minimum Qualifications): - Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field - 2+ years experience in data engineering or related roles
What will help you propel from the pack (Preferred Qualifications): - Bachelor’s degree in a field relevant to Machine Learning - 3+ years experience in data engineering or related roles
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20265 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 5
Similar jobs usually come down between day 5 and day 54.
At United Airlines, jobs usually come down by about day 10.
From 12,048 similar postings that came down, and 221 of United Airlines’s. Coming down is not always a hire.
United Airlines is hiring
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down quickly
- 23% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Redshift
- S3
- Spark
- PySpark
Where the posting names them
- Establish and maintain scalable containerized and serverless platforms, develop automation tools and applications using the AWS ecosystem, and proactively monitor, troubleshoot, and optimize critical data infrastructure - Design and develop resilient batch and real-time data pipelines using Spark, Python, Databricks, and Flink - Apply hands-on engineering expertise to deliver scalable, maintainable, and high-performing data solutions
- 2+ years experience in data engineering or related roles - Proficiency in Python, SQL, data processing frameworks (Spark, pyspark) - Familiar with AWS services such as Kinesis, Redshift, Glue, Athena, S3 etc.
- Design, build, and operate high-performance, cloud-native infrastructure and services that accelerate innovation across United - Establish and maintain scalable containerized and serverless platforms, develop automation tools and applications using the AWS ecosystem, and proactively monitor, troubleshoot, and optimize critical data infrastructure - Design and develop resilient batch and real-time data pipelines using Spark, Python, Databricks, and Flink
- Proficiency in Python, SQL, data processing frameworks (Spark, pyspark) - Familiar with AWS services such as Kinesis, Redshift, Glue, Athena, S3 etc. - Ability to effectively collaborate with business users and product owners to design optimized data pipelines
Your next step
Complete your application on ual-pro.taleo.net. The employer’s form will show what is required.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Has United Airlines posted this job before?
Yes. We’ve followed one other Data Engineer job there since October 2026. It is still up.
About United Airlines
- People
- About 113,200 in 2025, up 6% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as UAL.
- H-1B visas
- 3 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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.
Job description
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what’s next. Let’s define tomorrow, together.
The base pay range for this role is $94,145.00 to $122,550.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com
Come join us to create what’s next. Let’s define tomorrow, together.
Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job Overview and Responsibilities
The objective of Data Engineer is to architect, implement and maintain robust data infrastructure that supports the end-to-end pipelines. This includes designing data ingestion processes, optimizing data storage solutions, and ensuring data quality and integrity. By building scalable and efficient systems, the Data Engineer empowers the team to access, preprocess, and analyze data effectively, ultimately facilitating the development and deployment of accurate and impactful data models.
- Design, build, and operate high-performance, cloud-native infrastructure and services that accelerate innovation across United
- Establish and maintain scalable containerized and serverless platforms, develop automation tools and applications using the AWS ecosystem, and proactively monitor, troubleshoot, and optimize critical data infrastructure
- Design and develop resilient batch and real-time data pipelines using Spark, Python, Databricks, and Flink
- Apply hands-on engineering expertise to deliver scalable, maintainable, and high-performing data solutions
- Support and optimize large-scale data pipelines within distributed, highly available, and horizontally scalable environments
- Remain current with advancements in cloud-native engineering and microservices architecture
- Evaluate, experiment with, and adopt emerging technologies that improve platform scalability, resilience, developer productivity
- Advance intelligent automation through modern AI technologies
- Collaborate effectively with cross-functional teams to translate business and technical requirements into practical solutions
Qualifications
What’s needed to succeed (Minimum Qualifications):
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
- 2+ years experience in data engineering or related roles
- Proficiency in Python, SQL, data processing frameworks (Spark, pyspark)
- Familiar with AWS services such as Kinesis, Redshift, Glue, Athena, S3 etc.
- Ability to effectively collaborate with business users and product owners to design optimized data pipelines
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
- Bachelor’s degree in a field relevant to Machine Learning
- 3+ years experience in data engineering or related roles
- Advanced knowledge of ML algorithms and techniques
- Experience deploying machine learning pipelines into production
- Strong understanding of machine learning workflows, along with MLOPs tools and practices for managing ML workflows at scale
The base pay range for this role is $94,145.00 to $122,550.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Strong understanding of machine learning workflows, along with MLOPs tools and practices for managing ML workflows at scale The base pay range for this role is $94,145.00 to $122,550.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
- Location & working pattern
Chicago, Illinois, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Ability to effectively collaborate with business users and product owners to design optimized data pipelines - Must be legally authorized to work in the United States for any employer without sponsorship - Successful completion of interview required to meet job qualification