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…
Skills: PySpark, Databricks, SQL, Data engineering, Data modeling
Job Seekers can review the Job Applicant Privacy Policy by clicking here. Job Description: Summary Lead Solutions Design Engineers are responsible to support the growth of our Supply Chain Solutions & Dedicated Transport…
Skills: Simio, Supply chain design, Logistics network optimization, Data analysis, Transportation management systems
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At Fa…
Skills: C++, Data structures, Algorithms, Object-oriented design, CI/CD
Responsibilities This position has a target start date in summer 2027. This position in Sargent & Lundy’s Consulting group will require you to focus on our utility planning and advisory projects, such as the following: C…
Skills: Power systems analysis, Electrical engineering, PSS/E, Transmission planning, Technical reporting
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce Salesforce is…
Skills: Informatica MDM, Master Data Management, IDMC, Cloud Data Integration, Cloud Application Integration
2027 Early Careers Talent Community (Graduate & Internship Opportunities) – United States
Chicago, Illinois, United States · Remote OK
Entry level
Location: United States (Flexible) | Client-based role with up to 80% travel Opportunity Type: Graduate & Internship Opportunities Shape the Future of Industry. Help Save Lives. At dss+, we believe the best careers begin…
Company:Mercer Description: We are seeking a talented individual to join our Health & Benefits team at Marsh People & Investments (formerly known as Mercer). This role can be based in Chicago and offers a hybrid work arr…
(Hybrid | Chicagoland candidates only) Marcel Digital is an award-winning digital marketing and software development agency established in 2003. Based in Chicago, we partner with mid-market B2B organizations to drive mea…
Skills: AEO, SEO, AI-powered answer engines, Structured data, Schema markup
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Job Description: Manager, Portfolio PPA Strategy Chicago, IL Office-based The Portfolio Price Pack Architecture (PPA) Strategy Manager is responsible for designing, optimizing, and executing a multi-category, forward-loo…
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Director of Business Development, Listings/Digital Solutions - Zonda - Chicago, IL
Chicago, Illinois, United States · On-site
$80k–$100k/yr
Mid level
Director of Business Development, Listings/Digital Solutions - Zonda - Chicago, IL <br> Job Description <br> Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real e…
Skills: Business development, Outside sales, Prospecting, Presentation skills, Closing skills
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FIS - Fidelity Information Services
Quality Automation Engineer
Chicago, Illinois, United States · Hybrid
$72k–$122k/yr
Senior
Job Description We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. …
Skills: Test automation, Fintech, Python, Java, SQL
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Deals - FDD Contracts and Closing Mechanisms - Senior Associate
Chicago, Illinois, United States · On-site
$77k–$202k/yr
Mid level
Industry/Sector Not Applicable Specialism Financial Due Diligence Management Level Senior Associate Job Description & Summary The Opportunity As a Deals - FDD Contracts and Closing Mechanisms - Senior Associate, you will…
Skills: Financial due diligence, Financial modeling, Forecasting, Quality of earnings analysis, Cash flow analysis
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$118k–$153k/yr
Full-time
bachelor degree, postgraduate degree
Health insurance, Wellness benefits, Life insurance, Accident and disability insurance, Parental leave, Employee assistance program
Posted 9d ago
~40 hrs/week
Responsibilities
The Senior Data Engineer will design and build scalable data pipelines to process conversational data and AI telemetry for actionable business insights. They will also create analytics data products and frameworks to monitor AI performance, customer behavior, and operational impact.
Requirements
Candidates must have a bachelor's degree in a relevant field and at least 3 years of experience in large-scale data processing. Proficiency in PySpark, Databricks, and advanced SQL is required, along with the ability to work legally in the United States.
Full 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
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.
Our Vision: 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.
You will be responsible for 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.
Data Product Architecture:
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:
Build highly optimized, modular PySpark pipelines within Databricks to process large-scale conversational data and AI telemetry
Convert ad-hoc analytical queries into production-ready data pipelines with rigorous testing and monitoring
Implement incremental processing patterns and Delta Lake optimization techniques to minimize compute costs and improve query performance
Conversational Data Processing:
Parse and structure complex, semi-structured conversational data including chat transcripts, voice call logs, AI agent decision traces, and customer intent classifications
Standardize ingestion of diverse data sources including LLM prompt/response pairs, agent orchestration logs, and customer feedback signals
Build precise conversation funnel metrics, AI containment rates, resolution accuracy, and customer satisfaction analytics
AI Performance Analytics:
Design data models that enable comprehensive AI agent performance monitoring including response accuracy, latency, escalation patterns, and customer satisfaction
Create analytics frameworks that measure business impact of AI automation including cost savings, wait time reduction, and operational efficiency gains
Build attribution logic that connects AI interactions to downstream business outcomes such as bookings, customer retention, and contact center volume reduction
Data Governance & Quality:
Enforce rigorous technical standards across all data products including schema enforcement, data quality validation, and comprehensive metadata documentation
Implement standardized naming conventions, data lineage tracking, and documentation practices
Ensure data products meet security, privacy, and compliance requirements for customer interaction data
Visualization & Reporting:
Expose Databricks Delta tables to PowerBI and other visualization tools for business stakeholder consumption
Partner with business analysts and product managers to design intuitive dashboards and reports that drive decision-making
Create automated reporting frameworks that deliver regular insights on AI performance and business impact
Production Excellence:
Transition experimental analytics work into robust, production-ready data assets with comprehensive monitoring and alerting
Partner with analytics teams, AI engineers, and business stakeholders to ensure data products meet evolving business needs
Document data products thoroughly to enable handoff to broader engineering teams for long-term maintenance
Qualifications
What's needed to succeed (Minimum Qualifications):
Bachelor's degree
Computer Science, Data Engineering, Information Systems, or related field preferred
3+ years of hands-on experience designing, optimizing, and maintaining large-scale data processing workloads
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
Experience with cloud data platforms, preferably AWS (Redshift, S3, Glue, Athena)
Proven track record of parsing and structuring complex, semi-structured data (JSON, nested structures, logs)
Strong understanding of analytics data modeling and dimensional design principles
Experience building data pipelines that support business intelligence and reporting use cases
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
Reliable, punctual attendance is an essential function of the position
Preferred:
Master's degree in Computer Science, Data Science, or related field
Experience processing conversational data, chat logs, voice transcripts, or customer interaction data
Familiarity with AI/ML telemetry, LLM prompt/response data, or agent orchestration logs
Experience building analytics for AI systems including performance monitoring, accuracy measurement, and impact analysis
Knowledge of natural language processing (NLP) concepts and text analytics
Experience with real-time streaming data processing and event-driven architectures
Familiarity with data quality frameworks and automated testing for data pipelines
Experience with contact center analytics, customer journey analytics, or operational efficiency metrics
Understanding of how to map system performance data to business outcomes and customer experience metrics
Prior experience in travel, e-commerce, retail, or customer service industries
Experience working in fast-paced, enterprise-scale environments with complex data ecosystems
Knowledge of data governance, privacy regulations, and responsible AI data practices
Familiarity with Agile/Scrum methodologies and collaborative development practices
The base pay range for this role is $117,610.00 to $153,146.00. 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) 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 [email protected]
Related keywords
Data EngineeringPySparkDatabricksAWSRedshiftS3GlueAthenaDelta LakeSQLPowerBIAI AutomationConversational DataData PipelinesData ModelingLLM
This is the story of airline that leads the industry from ground to clouds. Our global cast of over 100,000+ hero characters are each on a journey to be a force for good for our customers, the planet and each other. Come be part of this story.
Offices: 233 South Wacker Drive, Chicago, IL 60606, US
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How much do Data & Analytics jobs in Chicago, IL pay?
Based on 2858 listings with disclosed salaries, most data & analytics jobs in Chicago, IL pay between $72k–$184k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Chicago, IL right now?
There are currently 3,476 open data & analytics positions in Chicago, IL listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Chicago, IL?
Companies currently hiring include Publicis Groupe Holdings B.V., Northern Trust Asset Management, Becker Friedman Institute for Economics, United Airlines, JPMorganChase, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Chicago, IL?
Yes — 1952 of the 3476 open data & analytics positions offer remote or hybrid work (357 remote, 1595 hybrid).
How do I apply for Data & Analytics jobs in Chicago, IL?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.