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. Position Summary: You will assist in designing and maintaining data pipelines, managing NoSQL databases, and developing full stack applications to support our data integration and analytics efforts. This role offers an excellent opportunity to work with cutting-edge technologies and grow your skills in a collaborative environment. Job Accountabilities: Assist in the design, development, and maintenance of scalable data pipelines and ETL processes. Support the implementation and management of NoSQL databases to ensure efficient data storage and retrieval. Develop full stack applications to facilitate data integration and analytics. Collaborate with data scientists, analysts, and software engineers to understand data requirements and deliver robust solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and reliability. Document data engineering processes, workflows, and best practices. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Basic understanding of SQL and NoSQL databases (e.g., MongoDB, Cassandra). Experience with full stack development, including front-end technologies (e.g., HTML, CSS, JavaScript) and back-end technologies (e.g., Node.js, Python). Familiarity with data warehousing concepts and ETL processes. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies. Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with data visualization tools like Tableau or Power BI. Experience with containerization and orchestration tools like Docker and Kubernetes. 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