Top Data Engineer Jobs in Cleveland, OH

Lead the development of AI and Machine Learning solutions to improve enterprise services user experience and workflow efficiency. Collaborate with a team of researchers, scientists, engineers, and product managers to build innovative solutions for enterprise customers around the world.

Lead the Data Management Transformation program at Mondelēz International, focusing on defining and delivering a complex master data transformation for the US market. Partner with various teams and senior leaders to ensure alignment and successful execution of the project. Provide strategic input on data governance and management practices to drive long-term success for the business unit.

Join our autosquad team to automate order-taking process through AI by managing data warehouses, cleaning/preprocessing datasets, developing ETL pipelines, and collaborating with ML Ops and software engineers.

Seeking a Staff Data Engineer to build data pipelines and applications using emerging technologies like generative AI. Responsibilities include designing, building, and scaling data pipelines, working with machine learning best practices, and partnering with various internal stakeholders.

Looking for a Senior Data Engineer to work on enhancing datasets and data products with a focus on data quality and best practices. Responsibilities include working with SQL, analyzing complex data, building ETL pipelines, collaborating with peers, and optimizing solutions. Qualifications include 5+ years of Data Engineering, knowledge of data quality tools, and hands-on experience with continuous integration tools. Bachelor's degree in a technical field preferred. Unlimited paid time off and various benefits are offered. The company's mission is to provide free access to information while prioritizing consumer privacy and security.

The Commerce Data Engineer is responsible for building and maintaining the data foundation of the Commerce business unit, automating and aggregating data from internal and external sources. They collaborate with analysts to create data models for business intelligence and analytics. The role requires expertise in database design, handling large data sets, cloud-based tools, visualization tools, and problem-solving skills.

The Lead Data Specialist at Endpoint will supervise a team within Data Management, manage day-to-day operations, interact with study teams, and ensure database integrity. Responsibilities include handling critical issues, training team members, drafting SQL scripts, managing data change requests, and collaborating with clients and IT teams. Requires a Bachelor's degree, 4-7 years of relevant experience, and leadership skills.