Hiring: Senior Data Engineer – Customer AI Analytics Company: United Airlines Location: Chicago, IL Job Posted Time: 2026-09-10 11:59:21 Target Skills & Keywords : AWS, Agile, Data Pipeline, Databricks, Delta Lake, Event-Driven, LLM, NLP, PySpark, Redshift, S3, SQL, Scrum About the job Experience: •3+ years of hands-on experience designing, optimizing, and maintaining large-scale data processing workloads Required Skills: •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. •We are seeking a highly skilled Senior Data Engineer to join our Retail AI Automation team. This role is critical in transforming massive volumes of conversational data, customer interaction logs, and AI agent performance metrics into actionable business insights that drive continuous improvement of our AI automation capabilities. •We are giving our people the backup they've always deserved, so that when a customer needs a human, they get the most outstanding customer experience they can imagine from AI. You will be building the data infrastructure and analytics capabilities that measure, optimize, and prove the value of AI automation at scale. •Designing and building robust data pipelines that process millions of customer conversations, creating analytics data products that enable business stakeholders to understand AI performance, customer behavior, and operational impact across voice, chat, and future channels. •Transform raw conversational data, AI agent logs, and customer interaction events into structured, reliable analytics data assets •Design and build scalable data models that support AI performance monitoring, customer journey analytics, and business impact measurement •Create reusable data products that enable self-service analytics for business stakeholders, data scientists, and AI engineers •Pipeline Development & Optimization Qualifications: •Bachelor's degree •Computer Science, Data Engineering, Information Systems, or related field preferred •Expert-level proficiency in PySpark and Databricks (DataFrames, Structured Streaming, Delta Lake) •Advanced SQL skills with deep expertise in writing and optimizing complex, high-volume queries •Demonstrated success in parsing and structuring complex, semi-structured data (JSON, nested structures, logs) •In-depth knowledge of analytics data modeling and dimensional design principles •Proficiency with PowerBI or similar visualization tools for exposing data products to business users •Self-starter mentality capable of auditing unfamiliar schemas, reverse-engineering logic, and delivering production-ready solutions with minimal guidance •Must be legally authorized to work in the United States for any employer without sponsorship •Successful completion of interview required to meet job qualification Compensation: •$117,610 - $153,146 / year •Competitive benefits and rewards package •This position is also eligible for bonus and/or long-term incentive compensation awards Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!