Description CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 115 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide. CAS is currently seeking a Data Engineer. This position will be located in our headquarters in Columbus, Ohio. Job Accountabilities: Data Pipeline Development: Design, develop, and maintain scalable data pipelines to support machine learning workflows. MLOps Implementation: Implement MLOps best practices to streamline the deployment, monitoring, and management of machine learning models. Data Integration: Integrate data from various sources, ensuring data quality, consistency, and reliability. Automation: Automate data processing and machine learning workflows to improve efficiency and reduce manual intervention. Collaboration: Work closely with data scientists, machine learning engineers, and other stakeholders to understand requirements and deliver solutions. Monitoring and Optimization: Monitor data pipelines and machine learning models in production, optimizing performance and resolving issues as they arise. Documentation: Create and maintain comprehensive documentation for data pipelines, MLOps processes, and related infrastructure. Qualifications: Education: Bachelor's or Master's degree in computer science, Engineering, or a related field. 5+ years of experience in data engineering. 2+ years of experience in MLOps. Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark, Apache Kafka, or similar. Strong knowledge of SQL and NoSQL databases. CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) EEO/Minority/Female/Disabled/Veteran