We are looking for an experienced Data Engineer to join our team in Cincinnati, Ohio. This long-term contract position offers the opportunity to work on cutting-edge data engineering projects while collaborating with multidisciplinary teams to deliver high-quality solutions. The ideal candidate will have a strong background in Databricks and big data technologies, along with a passion for optimizing data processes and systems.<br><br>Responsibilities:<br>• Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming.<br>• Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations.<br>• Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage.<br>• Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs.<br>• Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments.<br>• Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets.<br>• Support continuous integration and deployment processes for Databricks jobs and system configurations.<br>• Ensure high standards of data quality and security across all engineering tasks.<br>• Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
<p>Robert Half is seeking an experienced <strong>Senior Java Backend Engineer</strong> to support a high-impact initiative with a consulting services firm based in Seattle, WA. In this role, you will deliver robust, end-to-end solutions that power critical business functionality. Apply today!</p><p> </p><p><strong>Duration: </strong>3 months with potential to extend </p><p><strong>Schedule: </strong>Monday – Friday Core Business Hours </p><p><strong>Location:</strong> Onsite in Seattle preferred, remote ok. </p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable backend services and APIs for the MDS project using Java and Spring Boot </li><li>Break down complex requirements into small, incremental deliverables to support rapid development and consistent sprint execution </li><li>Collaborate with backend, frontend, and EDO Operations teams to deliver seamless, end-to-end solutions </li><li>Write clean, efficient, and maintainable code aligned with best practices and coding standards </li><li>Troubleshoot and resolve complex technical issues, including performance bottlenecks and system inefficiencies </li><li>Participate in code reviews, architectural discussions, and knowledge-sharing initiatives </li><li>Ensure the security, scalability, and reliability of backend systems </li><li>Document technical designs, workflows, and system integrations </li></ul>
<p>We are looking for a skilled Data Scientist to join our team on a long-term contract basis. This role involves designing innovative data models, ensuring data quality, and integrating diverse data ecosystems to support advanced audience insights and campaign management. If you have a passion for leveraging big data technologies to drive impactful results, we encourage you to apply.</p><p><br></p><p>Responsibilities:</p><p>• Develop scalable data architectures and pipelines to support real-time audience data processing and activation.</p><p>• Design and optimize graph models for representing complex relationships between individuals, devices, and households.</p><p>• Integrate data from various platforms, including DSPs, SSPs, DMPs, CDPs, and clean rooms, to enable audience onboarding and campaign measurement.</p><p>• Establish and maintain data validation, deduplication, and matching pipelines to ensure data accuracy and compliance with privacy regulations.</p><p>• Collaborate with cross-functional teams, including Data Science, Product, and Ad Operations, to operationalize audience data within workflows and optimization platforms.</p><p>• Build dashboards and monitoring tools to track performance metrics such as data quality, match rates, and audience graph efficiency.</p><p>• Create and maintain data models and pipelines to support household graph development and campaign lifecycle management.</p><p>• Integrate identity provider data with first-party data to enhance audience insights.</p><p>• Ensure data systems are optimized for scalability and performance, managing billions of identifiers across millions of households.</p>
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cincinnati, Ohio. In this role, you will leverage your expertise to analyze data patterns, identify potential fraudulent activities, and support investigations with actionable insights. This position offers an excellent opportunity to contribute to fraud prevention and detection strategies while working with diverse datasets.<br><br>Responsibilities:<br>• Analyze large datasets to identify trends, anomalies, and potential fraudulent activities.<br>• Develop and implement fraud detection models and analytics tools.<br>• Collaborate with fraud investigation teams to provide data-driven insights and recommendations.<br>• Monitor and assess data for suspected fraudulent behavior, ensuring timely identification and reporting.<br>• Create detailed reports and visualizations to support anti-fraud initiatives.<br>• Enhance existing fraud prevention strategies through continuous data analysis.<br>• Conduct regular audits of data systems to ensure accuracy and reliability.<br>• Work closely with cross-functional teams to improve fraud detection capabilities.<br>• Maintain and safeguard data integrity throughout all analytical processes.