{"schemaVersion":"jobsearcher.job.v1","id":"aad2285fad6d8a6d78f198dd","url":"https://jobsearcher.com/jobs/aad2285fad6d8a6d78f198dd","canonicalUrl":"https://jobsearcher.com/jobs/aad2285fad6d8a6d78f198dd","title":"Data Modeling - SQL Engineer","description":"Job Location - Chicago IL (Day One Onsite - Hybrid)We are seeking a highly skilled Data Modeling SQL Engineer with strong expertise in data architecture SQL development and cloudbased data platforms.The ideal candidate will bring deep experience in designing scalable data models working with enterprise data systems and building efficient data pipelines to support analytics and business intelligence needsJob DescriptionsData Modeling and DevelopmentDesign develop and maintain robust data models to support business and analytical requirementsUnderstand and work with complex enterprise data structures and relationshipsDevelop scalable and efficient solutions for data transformation integration and reportingSQL Development and Data QueryingWrite optimize and troubleshoot complex SQL queries for data extraction transformation and analysisQuery and manage data from Snowflake tables and other enterprise data sourcesPerform advanced SQL operations for reporting validation and business insightsData Extraction and IntegrationFetch and process data from Snowflake OneLake and other internal external applicationsExtract outputs from applications databases and SQL based systems for downstream processing and analyticsRead and process structured and semi structured data files from multiple sourcesCloud and Platform DeploymentDeploy data models and related solutions to modeling platforms and cloud based environmentsWork with AWS services to build and support data engineering and analytics workloadsUtilize OpenShift Container Platform OCP for deployment orchestration and management of applications and servicesData Modeling and DevelopmentDesign develop and maintain robust data models to support business and analytical requirementsUnderstand and work with complex enterprise data structures and relationshipsDevelop scalable and efficient solutions for data transformation integration and reportingSQL Development and Data QueryingWrite optimize and troubleshoot complex SQL queries for data extraction transformation and analysisQuery and manage data from Snowflake tables and other enterprise data sourcesPerform advanced SQL operations for reporting validation and business insightsData Extraction and IntegrationFetch and process data from Snowflake OneLake and other internal external applicationsExtract outputs from applications databases and SQL based systems for downstream processing and analyticsRead and process structured and semi structured data files from multiple sourcesCloud and Platform DeploymentDeploy data models and related solutions to modeling platforms and cloud based environmentsWork with AWS services to build and support data engineering and analytics workloadsUtilize OpenShift Container Platform OCP for deployment orchestration and management of applications and servicesData Modeling and DevelopmentDesign develop and maintain robust data models to support business and analytical requirementsUnderstand and work with complex enterprise data structures and relationshipsDevelop scalable and efficient solutions for data transformation integration and reportingSQL Development and Data QueryingWrite optimize and troubleshoot complex SQL queries for data extraction transformation and analysisQuery and manage data from Snowflake tables and other enterprise data sourcesPerform advanced SQL operations for reporting validation and business insightsData Extraction and IntegrationFetch and process data from Snowflake OneLake and other internal external applicationsExtract outputs from applications databases and SQL based systems for downstream processing and analyticsRead and process structured and semi structured data files from multiple sourcesCloud and Platform DeploymentDeploy data models and related solutions to modeling platforms and cloud based environmentsWork with AWS services to build and support data engineering and analytics workloadsUtilize OpenShift Container Platform OCP for deployment orchestration and management of applications and servicesJob Descriptions (2)Python DevelopmentDevelop data processing automation and integration scripts using PythonBuild reusable Python based components for data ingestion transformation and validationSupport data workflows and analytics use cases through efficient Python programmingData File Handling and ProcessingRead validate and process data files from various enterprise systemsEnsure data quality consistency and completeness across multiple data sourcesSupport file based ingestion and transformation workflowsCollaboration and Solution DeliveryWork closely with business stakeholders architects analysts and technical teams to understand requirements and deliver solutionsParticipate in solution design discussions and provide recommendations for data architecture and implementationSupport production deployments troubleshooting and performance optimizationRequired Skills And Experience10 years of overall IT experience in software development data engineering or related technical rolesStrong experience in data modeling and understanding of data structures and enterprise data flowsStrong hands on experience in complex SQL development and query optimizationExperience in deploying solutions to modeling platformsProven experience in fetching and querying data from Snowflake and One LakeStrong experience with AWS cloud servicesHands on experience with OCP OpenShift Container PlatformStrong programming experience in PythonExperience in reading and processing data files from multiple sourcesExperience in extracting outputs from applications and SQL systemsStrong analytical and problem solving skillsAbility to work independently and in a collaborative team environmentStrong communication skills with the ability to interact effectively with business and technical stakeholdersLife At CapgeminiCapgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We OfferFlexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawSalary TransparencyThe primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effeCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.ctively to drive business outcomes.For this role, the gross annual base salary range is $80420 to $106050 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.","company":"Capgemini","rawCompany":"capgemini","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-07-21T10:54:43.109Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Modeling - SQL Engineer","description":"Job Location - Chicago IL (Day One Onsite - Hybrid)We are seeking a highly skilled Data Modeling SQL Engineer with strong expertise in data architecture SQL development and cloudbased data platforms.The ideal candidate will bring deep experience in designing scalable data models working with enterprise data systems and building efficient data pipelines to support analytics and business intelligence needsJob DescriptionsData Modeling and DevelopmentDesign develop and maintain robust data models to support business and analytical requirementsUnderstand and work with complex enterprise data structures and relationshipsDevelop scalable and efficient solutions for data transformation integration and reportingSQL Development and Data QueryingWrite optimize and troubleshoot complex SQL queries for data extraction transformation and analysisQuery and manage data from Snowflake tables and other enterprise data sourcesPerform advanced SQL operations for reporting validation and business insightsData Extraction and IntegrationFetch and process data from Snowflake OneLake and other internal external applicationsExtract outputs from applications databases and SQL based systems for downstream processing and analyticsRead and process structured and semi structured data files from multiple sourcesCloud and Platform DeploymentDeploy data models and related solutions to modeling platforms and cloud based environmentsWork with AWS services to build and support data engineering and analytics workloadsUtilize OpenShift Container Platform OCP for deployment orchestration and management of applications and servicesData Modeling and DevelopmentDesign develop and maintain robust data models to support business and analytical requirementsUnderstand and work with complex enterprise data structures and relationshipsDevelop scalable and efficient solutions for data transformation integration and reportingSQL Development and Data QueryingWrite optimize and troubleshoot complex SQL queries for data extraction transformation and analysisQuery and manage data from Snowflake tables and other enterprise data sourcesPerform advanced SQL operations for reporting validation and business insightsData Extraction and IntegrationFetch and process data from Snowflake OneLake and other internal external applicationsExtract outputs from applications databases and SQL based systems for downstream processing and analyticsRead and process structured and semi structured data files from multiple sourcesCloud and Platform DeploymentDeploy data models and related solutions to modeling platforms and cloud based environmentsWork with AWS services to build and support data engineering and analytics workloadsUtilize OpenShift Container Platform OCP for deployment orchestration and management of applications and servicesData Modeling and DevelopmentDesign develop and maintain robust data models to support business and analytical requirementsUnderstand and work with complex enterprise data structures and relationshipsDevelop scalable and efficient solutions for data transformation integration and reportingSQL Development and Data QueryingWrite optimize and troubleshoot complex SQL queries for data extraction transformation and analysisQuery and manage data from Snowflake tables and other enterprise data sourcesPerform advanced SQL operations for reporting validation and business insightsData Extraction and IntegrationFetch and process data from Snowflake OneLake and other internal external applicationsExtract outputs from applications databases and SQL based systems for downstream processing and analyticsRead and process structured and semi structured data files from multiple sourcesCloud and Platform DeploymentDeploy data models and related solutions to modeling platforms and cloud based environmentsWork with AWS services to build and support data engineering and analytics workloadsUtilize OpenShift Container Platform OCP for deployment orchestration and management of applications and servicesJob Descriptions (2)Python DevelopmentDevelop data processing automation and integration scripts using PythonBuild reusable Python based components for data ingestion transformation and validationSupport data workflows and analytics use cases through efficient Python programmingData File Handling and ProcessingRead validate and process data files from various enterprise systemsEnsure data quality consistency and completeness across multiple data sourcesSupport file based ingestion and transformation workflowsCollaboration and Solution DeliveryWork closely with business stakeholders architects analysts and technical teams to understand requirements and deliver solutionsParticipate in solution design discussions and provide recommendations for data architecture and implementationSupport production deployments troubleshooting and performance optimizationRequired Skills And Experience10 years of overall IT experience in software development data engineering or related technical rolesStrong experience in data modeling and understanding of data structures and enterprise data flowsStrong hands on experience in complex SQL development and query optimizationExperience in deploying solutions to modeling platformsProven experience in fetching and querying data from Snowflake and One LakeStrong experience with AWS cloud servicesHands on experience with OCP OpenShift Container PlatformStrong programming experience in PythonExperience in reading and processing data files from multiple sourcesExperience in extracting outputs from applications and SQL systemsStrong analytical and problem solving skillsAbility to work independently and in a collaborative team environmentStrong communication skills with the ability to interact effectively with business and technical stakeholdersLife At CapgeminiCapgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We OfferFlexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawSalary TransparencyThe primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effeCapgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.ctively to drive business outcomes.For this role, the gross annual base salary range is $80420 to $106050 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors – like your experience, skills, and qualifications – in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.","datePosted":"2026-07-21T10:54:43.109Z","dateModified":"2026-07-21T10:54:43.109Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aad2285fad6d8a6d78f198dd"},"url":"https://jobsearcher.com/jobs/aad2285fad6d8a6d78f198dd"}}