Data Engineer

Data EngineerThe 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.RequirementsEducation - Bachelor degree or equivalent experience in a computational science or technical fieldExperience - 2+ years professional experienceSkills - Proficiency in SQL, query optimization, indexing strategies. Strong Python for data processing (PySpark). Familiarity with DevOps practices, Git integrations, CI/CD (Azure DevOps). Experience with cloud-native tools and technologies (Azure, GCP, AWS). Building, optimizing, and maintaining ETL/ELT pipelines. Basic infrastructure-as-code (Terraform, CloudFormation). Understanding of real-time data processing (Kafka, Kinesis). Experience with workflow orchestration tools (Apache Airflow, Dagster, Prefect)Other - Spoken and written fluency in English. Ability to travel within the United States, preferred, as directed. Willing to relocate. This position is based in Cincinnati, OH.Primary Duties & ResponsibilitiesPipeline Development – 40% - Build, optimize, and maintain ETL/ELT pipelines using Python and SQL to collect and transform data from various sources.Data Optimization – 20% - Write efficient SQL queries, implement indexing strategies, and perform performance tuning to ensure fast data retrieval.Cloud & Workflow Management – 15% - Utilize cloud-based data tools and workflow orchestration systems (e.g., Airflow) to automate data distribution.System Management – 15% - Monitor and troubleshoot existing data systems to ensure reliability for departmental analysts.Collaboration & Process – 5% - Participate in code reviews and proactively improve workflows to support team knowledge sharing.Other – 5% - Other duties as assigned.Reports To: Senior Manager, Data EngineerNext Role to Develop Toward: Senior Data EngineerDevelopment Requirements:Owns small to mid-sized projects with minimal oversight.Proactively improves processes and optimizes workflows.Contributes to code reviews and knowledge sharing.Physical Requirements:Ability to stand and walk for extended periods throughout the day.Comfortable working in varying conditions with moderate noise level (confined spaces like office/cubicles).Ability to handle repetitive tasks.Sufficient hand-eye coordination and manual dexterity for tasks like computer work, note-taking, etc.Ability to be available for long shifts and to work long and variable hours, including weekends and holidays.Expectations:Adhere to Cincinnati Reds Organization Policies and Procedures.Act as a role model within and outside the Cincinnati Reds Organization.Perform duties as workload necessitates.Demonstrate flexible and efficient time management and ability to prioritize workload.Meet department productivity standards.Willingness to learn. Open to new methodologiesEqual Opportunity Statement: The 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.