United Airlines
From United Airlines's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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
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
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
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
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