{"schemaVersion":"jobsearcher.job.v1","id":"9075fc92f49daf83adcb45cd","url":"https://jobsearcher.com/jobs/9075fc92f49daf83adcb45cd","canonicalUrl":"https://jobsearcher.com/jobs/9075fc92f49daf83adcb45cd","title":"Data Engineer","description":"Client: United AirlinesProject Name: Data HubJob Title: Data EngineerLocation: Downtown Chicago, IL - Willis TowerDuration: 10 MonthsPay Rate: $70/hr on W2Work Arrangement: Onsite - 3 to 4 days per weekInterview Process: 2 Rounds (Video Interview followed by In-Person Interview)C2C: Not preferred by the client manager Job Overview The Product Analytics team at United Airlines is on a transformational journey to unlock the full potential of enterprise data by building a modern, cloud-based data lake architecture. The team aims to develop scalable applications, accelerate business growth through data and machine learning, and enable better decision-making across the enterprise. The Data Engineer will work with cross-functional teams to design, develop, and maintain scalable data acquisition, storage, transformation, and processing solutions that support operational and analytical initiatives. Key Responsibilities Design, develop, and support large-scale data pipelines in distributed and scalable environments.Enable and optimize AWS production environments for data infrastructure and frameworks.Develop reusable Terraform modules to automate infrastructure deployments.Work with Databricks and data lake technologies.Design and develop batch and streaming data applications using AWS technologies.Collaborate with development teams, business stakeholders, and department leaders to deliver innovative technical solutions.Provide technical leadership, architectural guidance, and troubleshooting support to the team.Perform root cause analysis and resolve complex data and infrastructure issues.Coordinate cross-functional projects involving internal teams, vendors, and external partners.Manage multiple deliverables while adapting to changing business priorities.Collaborate with project managers, product owners, and development leads to support Agile development and delivery. Required Qualifications Bachelor's degree in Statistics, Software Engineering, Business Analytics, Information Systems, Aviation Management, or a related field.Minimum 5 years of experience in Data Engineering or ETL Development.Strong experience with AWS cloud services, including: Amazon RedshiftAmazon S3Amazon AthenaAWS GlueAWS Lambda Strong hands-on experience with Python, Bash scripting, and PySpark.Experience with Terraform and infrastructure automation.Strong understanding of DevOps practices and CI/CD pipelines.Experience with SQL and database tools such as: SQL ServerSSMSOracle SQL DeveloperBigQuery Knowledge of Apache Airflow and Databricks.Experience working with structured, semi-structured, and unstructured datasets.Strong analytical, troubleshooting, and problem-solving skills.Experience performing root cause analysis on data and business processes.Ability to develop data models and data-driven solutions.Excellent communication, presentation, and stakeholder management skills.Proficiency in Microsoft Excel and PowerPoint.Ability to work under pressure and manage multiple priorities.Fluent in written and spoken English. Preferred Qualifications Master's degree in a relevant field.AWS Certification.Experience with Blue-Green deployments.Knowledge of Kubernetes and Ansible Playbooks.Experience with Quantum Metric and Akamai.Programming experience in Python and R.Strong experience with Continuous Integration and Continuous Delivery (CI/CD).Experience working in Agile development environments.Data Engineering experience in the airline or transportation industry. Interview Process Round 1: Video InterviewRound 2: In-Person Interview Important Work Location Requirement This is an onsite position in Downtown Chicago at Willis Tower. Candidates are expected to work onsite 3-4 days per week. Candidates must be comfortable with the hybrid onsite schedule and attending in-person interviews in Chicago.","company":"Unicom Technologies","rawCompany":"unicom technologies","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-11-13T09:16:01.476Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Client: United AirlinesProject Name: Data HubJob Title: Data EngineerLocation: Downtown Chicago, IL - Willis TowerDuration: 10 MonthsPay Rate: $70/hr on W2Work Arrangement: Onsite - 3 to 4 days per weekInterview Process: 2 Rounds (Video Interview followed by In-Person Interview)C2C: Not preferred by the client manager Job Overview The Product Analytics team at United Airlines is on a transformational journey to unlock the full potential of enterprise data by building a modern, cloud-based data lake architecture. The team aims to develop scalable applications, accelerate business growth through data and machine learning, and enable better decision-making across the enterprise. The Data Engineer will work with cross-functional teams to design, develop, and maintain scalable data acquisition, storage, transformation, and processing solutions that support operational and analytical initiatives. Key Responsibilities Design, develop, and support large-scale data pipelines in distributed and scalable environments.Enable and optimize AWS production environments for data infrastructure and frameworks.Develop reusable Terraform modules to automate infrastructure deployments.Work with Databricks and data lake technologies.Design and develop batch and streaming data applications using AWS technologies.Collaborate with development teams, business stakeholders, and department leaders to deliver innovative technical solutions.Provide technical leadership, architectural guidance, and troubleshooting support to the team.Perform root cause analysis and resolve complex data and infrastructure issues.Coordinate cross-functional projects involving internal teams, vendors, and external partners.Manage multiple deliverables while adapting to changing business priorities.Collaborate with project managers, product owners, and development leads to support Agile development and delivery. Required Qualifications Bachelor's degree in Statistics, Software Engineering, Business Analytics, Information Systems, Aviation Management, or a related field.Minimum 5 years of experience in Data Engineering or ETL Development.Strong experience with AWS cloud services, including: Amazon RedshiftAmazon S3Amazon AthenaAWS GlueAWS Lambda Strong hands-on experience with Python, Bash scripting, and PySpark.Experience with Terraform and infrastructure automation.Strong understanding of DevOps practices and CI/CD pipelines.Experience with SQL and database tools such as: SQL ServerSSMSOracle SQL DeveloperBigQuery Knowledge of Apache Airflow and Databricks.Experience working with structured, semi-structured, and unstructured datasets.Strong analytical, troubleshooting, and problem-solving skills.Experience performing root cause analysis on data and business processes.Ability to develop data models and data-driven solutions.Excellent communication, presentation, and stakeholder management skills.Proficiency in Microsoft Excel and PowerPoint.Ability to work under pressure and manage multiple priorities.Fluent in written and spoken English. Preferred Qualifications Master's degree in a relevant field.AWS Certification.Experience with Blue-Green deployments.Knowledge of Kubernetes and Ansible Playbooks.Experience with Quantum Metric and Akamai.Programming experience in Python and R.Strong experience with Continuous Integration and Continuous Delivery (CI/CD).Experience working in Agile development environments.Data Engineering experience in the airline or transportation industry. Interview Process Round 1: Video InterviewRound 2: In-Person Interview Important Work Location Requirement This is an onsite position in Downtown Chicago at Willis Tower. Candidates are expected to work onsite 3-4 days per week. Candidates must be comfortable with the hybrid onsite schedule and attending in-person interviews in Chicago.","datePosted":"2026-11-13T09:16:01.476Z","dateModified":"2026-11-13T09:16:01.476Z","hiringOrganization":{"@type":"Organization","name":"Unicom Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9075fc92f49daf83adcb45cd"},"url":"https://jobsearcher.com/jobs/9075fc92f49daf83adcb45cd"}}