{"schemaVersion":"jobsearcher.job.v1","id":"00ebe07f2cbe8d07c4b92712","url":"https://jobsearcher.com/jobs/00ebe07f2cbe8d07c4b92712","canonicalUrl":"https://jobsearcher.com/jobs/00ebe07f2cbe8d07c4b92712","title":"Data Engineer","description":"Job Description: Data Engineer\nDepartment: Information Technology – Baseball Data & Development\nFLSA Status: Full-Time, Salary Exempt\nDate Created: 10/01/2022\nDate Reviewed: 08/13/2026\n\nJob Summary:\nThe Data Engineer will work closely with the Data team and the Baseball Systems team to maintain, enhance, and extend the Cincinnati Reds data pipelines. You will be responsible for collecting and transforming data from various sources as well as preparing and distributing data for consumption by the department’s systems and analysts. The ideal candidate is an experienced data pipeline builder who excels at automating and optimizing data systems, with a strong preference for cloud experience.\n\nRequirements\nCategory\n\nDetails\n\nEducation\n\nBachelor degree or equivalent experience in a computational science or technical field\n\nExperience\n\n2+ years professional experience\n\nSkills\n\nProficiency in SQL, query optimization, indexing strategies\nStrong Python for data processing (PySpark)\nFamiliarity with DevOps practices, Git integrations, CI/CD (Azure DevOps)\nExperience with cloud-native tools and technologies (Azure, GCP, AWS)\nBuilding, optimizing, and maintaining ETL/ELT pipelines\nBasic infrastructure-as-code (Terraform, CloudFormation)\nUnderstanding of real-time data processing (Kafka, Kinesis)\nExperience with workflow orchestration tools (Apache Airflow, Dagster, Prefect)\n\nOther\n\nSpoken and written fluency in English.\nAbility to travel within the United States, preferred, as directed\nWilling to relocate. This position is based in Cincinnati, OH\n\nPrimary Duties & Responsibilities\nDuty\n\nDescription\n\nPipeline Development – 40%\n\nBuild, optimize, and maintain ETL/ELT pipelines using Python and SQL to collect and transform data from various sources.\n\nData Optimization – 20%\n\nWrite efficient SQL queries, implement indexing strategies, and perform performance tuning to ensure fast data retrieval.\n\nCloud & Workflow Management – 15%\n\nUtilize cloud-based data tools and workflow orchestration systems (e.g., Airflow) to automate data distribution.\n\nSystem Management – 15%\n\nMonitor and troubleshoot existing data systems to ensure reliability for departmental analysts.\n\nCollaboration & Process – 5%\n\nParticipate in code reviews and proactively improve workflows to support team knowledge sharing.\n\nOther – 5%\n\nOther duties as assigned.\n\nReports To: Senior Manager, Data Engineer\n\nNext Role to Develop Toward: Senior Data Engineer\nDevelopment Requirements:\nOwns small to mid-sized projects with minimal oversight.\nProactively improves processes and optimizes workflows.\nContributes to code reviews and knowledge sharing.\nPhysical Requirements:\nAbility to stand and walk for extended periods throughout the day.\nComfortable working in varying conditions with moderate noise level (confined spaces like office/cubicles).\nAbility to handle repetitive tasks.\nSufficient hand-eye coordination and manual dexterity for tasks like computer work, note-taking, etc.\nAbility to available for long shifts and to work long and variable hours, including weekends and holidays.\nExpectations:\nAdhere to Cincinnati Reds Organization Policies and Procedures.\nAct as a role model within and outside the Cincinnati Reds Organization.\nPerform duties as workload necessitates.\nDemonstrate flexible and efficient time management and ability to prioritize workload.\nMeet department productivity standards.\nWillingness to learn. Open to new methodologies\n\nEqual Opportunity Statement:\nThe Cincinnati Reds are an Equal Opportunity Employer. It is the policy of the Cincinnati Reds to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, national origin, religion or creed, sex, age, disability, citizenship status, marital status, genetic predisposition or carrier status, sexual orientation or any other characteristic protected by law.\n\nDisclaimer:\nThe statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The above description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Additional duties, as assigned, may become part of the job function. The duties listed above are, therefore, a partial representation not intended to be an exhaustive list of all responsibilities, duties, and skills required of a person in this position.","company":"Cincinnati Reds","rawCompany":"cincinnati reds","city":"Dayton","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-15T09:49:53.018Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Job Description: Data Engineer\nDepartment: Information Technology – Baseball Data & Development\nFLSA Status: Full-Time, Salary Exempt\nDate Created: 10/01/2022\nDate Reviewed: 08/13/2026\n\nJob Summary:\nThe Data Engineer will work closely with the Data team and the Baseball Systems team to maintain, enhance, and extend the Cincinnati Reds data pipelines. You will be responsible for collecting and transforming data from various sources as well as preparing and distributing data for consumption by the department’s systems and analysts. The ideal candidate is an experienced data pipeline builder who excels at automating and optimizing data systems, with a strong preference for cloud experience.\n\nRequirements\nCategory\n\nDetails\n\nEducation\n\nBachelor degree or equivalent experience in a computational science or technical field\n\nExperience\n\n2+ years professional experience\n\nSkills\n\nProficiency in SQL, query optimization, indexing strategies\nStrong Python for data processing (PySpark)\nFamiliarity with DevOps practices, Git integrations, CI/CD (Azure DevOps)\nExperience with cloud-native tools and technologies (Azure, GCP, AWS)\nBuilding, optimizing, and maintaining ETL/ELT pipelines\nBasic infrastructure-as-code (Terraform, CloudFormation)\nUnderstanding of real-time data processing (Kafka, Kinesis)\nExperience with workflow orchestration tools (Apache Airflow, Dagster, Prefect)\n\nOther\n\nSpoken and written fluency in English.\nAbility to travel within the United States, preferred, as directed\nWilling to relocate. This position is based in Cincinnati, OH\n\nPrimary Duties & Responsibilities\nDuty\n\nDescription\n\nPipeline Development – 40%\n\nBuild, optimize, and maintain ETL/ELT pipelines using Python and SQL to collect and transform data from various sources.\n\nData Optimization – 20%\n\nWrite efficient SQL queries, implement indexing strategies, and perform performance tuning to ensure fast data retrieval.\n\nCloud & Workflow Management – 15%\n\nUtilize cloud-based data tools and workflow orchestration systems (e.g., Airflow) to automate data distribution.\n\nSystem Management – 15%\n\nMonitor and troubleshoot existing data systems to ensure reliability for departmental analysts.\n\nCollaboration & Process – 5%\n\nParticipate in code reviews and proactively improve workflows to support team knowledge sharing.\n\nOther – 5%\n\nOther duties as assigned.\n\nReports To: Senior Manager, Data Engineer\n\nNext Role to Develop Toward: Senior Data Engineer\nDevelopment Requirements:\nOwns small to mid-sized projects with minimal oversight.\nProactively improves processes and optimizes workflows.\nContributes to code reviews and knowledge sharing.\nPhysical Requirements:\nAbility to stand and walk for extended periods throughout the day.\nComfortable working in varying conditions with moderate noise level (confined spaces like office/cubicles).\nAbility to handle repetitive tasks.\nSufficient hand-eye coordination and manual dexterity for tasks like computer work, note-taking, etc.\nAbility to available for long shifts and to work long and variable hours, including weekends and holidays.\nExpectations:\nAdhere to Cincinnati Reds Organization Policies and Procedures.\nAct as a role model within and outside the Cincinnati Reds Organization.\nPerform duties as workload necessitates.\nDemonstrate flexible and efficient time management and ability to prioritize workload.\nMeet department productivity standards.\nWillingness to learn. Open to new methodologies\n\nEqual Opportunity Statement:\nThe Cincinnati Reds are an Equal Opportunity Employer. It is the policy of the Cincinnati Reds to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, national origin, religion or creed, sex, age, disability, citizenship status, marital status, genetic predisposition or carrier status, sexual orientation or any other characteristic protected by law.\n\nDisclaimer:\nThe statements herein are intended to describe the general nature and level of work being performed by the employee in this position. The above description is only a summary of the typical functions of the job, not an exhaustive or comprehensive list of all possible job responsibilities, tasks, and duties. Additional duties, as assigned, may become part of the job function. The duties listed above are, therefore, a partial representation not intended to be an exhaustive list of all responsibilities, duties, and skills required of a person in this position.","datePosted":"2026-08-15T09:49:53.018Z","dateModified":"2026-08-15T09:49:53.018Z","hiringOrganization":{"@type":"Organization","name":"Cincinnati Reds","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dayton","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"00ebe07f2cbe8d07c4b92712"},"url":"https://jobsearcher.com/jobs/00ebe07f2cbe8d07c4b92712"}}