Data Engineer

United; Chicago (IL); On-site; USD 94,000 - 123,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

Disability Insurance

Parental Leave

Employee Assistance Program

Commuter Benefits

Paid Holidays

Paid Time Off

401(k)

Flight Privileges

Job summary

United Airlines is seeking a Data Engineer in Chicago to architect, build, and maintain scalable data infrastructure supporting end-to-end pipelines. You will ingest, preprocess, and analyze data to power accurate models and analytics.

Responsibilities include designing cloud-native data platforms, implementing real-time and batch pipelines with Spark, Python, and Databricks, and ensuring data quality. Collaboration across teams is essential.

Qualifications

• Bachelor’s degree in CS/engineering/math or related field.
• 2+ years of data engineering or related experience.
• Proficiency in Python, SQL, Spark, and PySpark.
• Experience with AWS services (Kinesis, Redshift, Glue, Athena, S3).
• Ability to collaborate with business users and product owners to design optimized data pipelines.
• Authorized to work in the United States without sponsorship.

Responsibilities

• 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 using AWS, and monitor data infrastructure.
• Design and develop resilient batch and real-time data pipelines using Spark, Python, Databricks, and Flink.
• Deliver scalable, maintainable data solutions with hands-on engineering.
• Support and optimize large-scale data pipelines within distributed, highly available environments.
• Stay current with cloud-native engineering and microservices architectures.
• Evaluate and adopt emerging technologies to improve platform scalability and resilience.
• Advance intelligent automation through modern AI technologies.
• Collaborate with cross-functional teams to translate requirements into practical solutions.

Skills

Python

SQL

Spark

Pyspark

Education

Bachelor's degree in CS/Engineering/Math or related field

Tools

AWS

Kinesis

Redshift

Glue

Athena

S3

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.

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)
• 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 [e-mail]