{"id":3712012,"url":"https://alion.io/job/united-airlines-data-engineer-2","title":"Data Engineer","company":{"id":18409,"name":"United Airlines","domain":"united.com","url":"https://alion.io/company/united","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":20,"ghost_share":0,"stale_share":0.15,"repost_share":0.1,"time_to_fill_p50_days":8,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":94145,"max":122550,"currency":"USD","period":"year","gross":null,"usd_annual":122550},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Flink","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-03T23:41:38Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T10:22:53Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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.\nDescription\nUnited'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.\nJob Overview and Responsibilities\nThe 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.\nDesign, build, and operate high-performance, cloud-native infrastructure and services that accelerate innovation across United\nEstablish 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\nDesign and develop resilient batch and real-time data pipelines using Spark, Python, Databricks, and Flink\nApply hands-on engineering expertise to deliver scalable, maintainable, and high-performing data solutions\nSupport and optimize large-scale data pipelines within distributed, highly available, and horizontally scalable environments\nRemain current with advancements in cloud-native engineering and microservices architecture\nEvaluate, experiment with, and adopt emerging technologies that improve platform scalability, resilience, developer productivity\nAdvance intelligent automation through modern AI technologies\nCollaborate effectively with cross-functional teams to translate business and technical requirements into practical solutions\nQualifications\nWhat’s needed to succeed (Minimum Qualifications):\nBachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field\n2+ years experience in data engineering or related roles\nProficiency in Python, SQL, data processing frameworks (Spark, pyspark) \nFamiliar with AWS services such as Kinesis, Redshift, Glue, Athena, S3 etc.\nAbility to effectively collaborate with business users and product owners to design optimized data pipelines\nMust be legally authorized to work in the United States for any employer without sponsorship\nSuccessful completion of interview required to meet job qualification\nReliable, punctual attendance is an essential function of the position\nWhat will help you propel from the pack (Preferred Qualifications):\nBachelor’s degree in a field relevant to Machine Learning \n3+ years experience in data engineering or related roles\nAdvanced knowledge of ML algorithms and techniques\nExperience deploying machine learning pipelines into production\nStrong understanding of machine learning workflows, along with MLOPs tools and practices for managing ML workflows at scale\nThe base pay range for this role is $94,145.00 to $122,550.00.\nThe 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.\nYou 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.\nUnited 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. 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