8 days ago

Base Salary

$94k - $123k/yr

Responsibilities

  • Design, build, and operate high-performance cloud-native infrastructure and services.
  • Establish scalable containerized and serverless platforms and develop automation tools and applications using AWS.
  • Design and develop resilient batch and real-time data pipelines using Spark, Python, Databricks, and Flink.
  • Support and optimize large-scale data pipelines in distributed, highly available, horizontally scalable environments.
  • Monitor, troubleshoot, and optimize critical data infrastructure.
  • Apply engineering expertise to deliver scalable, maintainable, high-performing data solutions.
  • Evaluate and adopt technologies that improve platform scalability, resilience, and developer productivity.
  • Advance intelligent automation through modern AI technologies.
  • Collaborate with business users, product owners, and cross-functional teams to translate requirements into optimized data pipelines and practical solutions.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • At least 2 years of experience in data engineering or related roles.
  • Proficiency in Python, SQL, and data processing frameworks including Spark and PySpark.
  • Familiarity with AWS services including Kinesis, Redshift, Glue, Athena, and S3.
  • Ability to collaborate with business users and product owners to design optimized data pipelines.
  • Legal authorization to work in the United States for any employer without sponsorship.
  • Successful completion of the interview and reliable, punctual attendance are required.
  • Preferred qualifications include a bachelor’s degree relevant to machine learning, 3+ years of data engineering experience, advanced knowledge of machine learning algorithms and techniques, experience deploying machine learning pipelines to production, and understanding of machine learning workflows and MLOps practices.

Benefits

  • Medical, dental, vision, life, accident, and disability benefits.
  • Parental leave, employee assistance program, commuter benefits, paid holidays, and paid time off.
  • 401(k) and flight privileges.
  • Eligible for bonus and/or long-term incentive compensation awards.
  • United Airlines is an equal opportunity employer and provides reasonable accommodations for applicants and employees with disabilities.

Tech Stack

Amazon RedshiftApache FlinkApache SparkAWSDatabricksPythonSQL

Categories

Data Engineering
United Airlines

About United Airlines

10,000+ employees

United Airlines is a major U.S. carrier that provides passenger air travel and air cargo services across a global network spanning six continents. The company sells tickets and ancillary services through united.com and its mobile apps, operates the MileagePlus loyalty program with co-brand credit card partnerships, and supports operations with large-scale digital systems. Headquartered in Chicago, it is part of publicly traded United Airlines Holdings (NASDAQ: UAL) and a member of Star Alliance.

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