Top Remote Data Engineer Jobs in Cincinnati, OH
The Cloud Data & Analytics Senior Manager will help organizations leverage data analytics to drive business results. Responsibilities include aligning client data strategies, assisting in platform selection, and migrating to modern cloud environments. The role requires leadership in managing diverse teams, problem-solving, and contributing technical knowledge in cloud data architecture.
As a Senior Manager in Data and Analytics, you will help organizations enhance business performance through smarter analytics and data-driven strategies. Your role will involve aligning client data strategies with business goals, managing cloud data migrations, and aiding in the implementation of modern data architectures using various cloud platforms.
As a Senior Associate, you will assist clients in choosing cloud platforms, defining their data needs, and migrating to modern cloud data environments. You'll solve complex business issues, analyze industry trends, and work collaboratively in a team to deliver quality insights and drive innovation.
As a Senior Software Engineer in ML Infrastructure, you'll collaborate with various teams to enhance Thumbtack's machine learning capabilities, focusing on feature engineering, model monitoring, and deployment. You will help standardize processes and drive projects to completion while solving complex technical challenges.
The Senior Machine Learning Software Engineer will design, build, evaluate, deploy, and iterate on large-scale machine learning systems, collaborating with cross-functional teams to enhance user experience at Dropbox. Responsibilities include working with product, infrastructure, and evaluating ML system performance against business objectives.
Featured Jobs
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
Seeking an experienced Staff Data Analyst to join the Data Science & Analytics team at Babylist. Responsibilities include collaborating with executive and finance teams, delivering actionable insights, leading strategic initiatives, and mentoring junior data scientists. The ideal candidate is an analytical problem solver, great communicator, and influential analyst with a strategic sense.
The Cloud Data Engineer at Eastwall is responsible for planning, building, and implementing modern data infrastructure and software solutions on Azure. This mid-level role involves working directly with Enterprise Architecture and Technology Leadership to optimize data ecosystems and migrate data workloads to Azure. The role requires experience with Azure data tools, DevOps, high availability, disaster recovery, and excellent communication skills.
GoodRx is seeking a Sr. Data Engineer to collaborate with teams across the organization to build data pipelines, lead projects, and architect cloud-based solutions. The role involves working with big data technologies, AWS services, and data warehouse platforms to guide business decisions through data analysis.
.jpeg)
All Filters
No Results
No Results
