Data Observability Engineer

• Collaborate with a team of data engineers, seeking and providing technical guidance, mentorship, and support

• Act as a technical point of contact for clients and stakeholders, providing updates and addressing any data related technical inquiries or concerns

• Design, develop, and maintain efficient and robust data pipelines, ETL processes, and data workflows

• Develop and maintain data models and schema designs to support data storage and retrieval needs

• Optimize data storage, processing, and retrieval mechanisms for performance and scalability

• Assist in providing technical leadership and guidance in the selection and implementation of data engineering tools and technologies

• Identify and implement best practices and standards for data engineering processes and tools

• Stay up-to-date with emerging technologies and trends in data engineering, evaluating their potential impact on our data infrastructure

• Collaborate with cross-functional teams to integrate data sources and enable seamless data flow across systems and with data scientists, analysts, and stakeholders to understand data requirements and develop scalable data solutions

• Support in the implementation and maintenance of data governance and security measures to protect sensitive information and to ensure data quality and integrity by implementing effective data validation and cleansing techniques

This position is not hybrid/remote and will be located at our Cleveland Headquarters office.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships.

Must be eighteen years or older