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.

• 5–7 years of experience in data engineering or software development roles.<br>• At least 3 years of hands-on experience with Databricks, Delta Lake, and Spark (PySpark, PySQL, Python).<br>• Proven expertise in implementing and managing Unity Catalog in multi-tenant environments.<br>• Strong knowledge of big data performance optimization techniques and cloud-based systems.<br>• Familiarity with GitHub, CI/CD pipelines, and automated deployment for Databricks assets.<br>• Experience with cloud storage services such as Azure or AWS, including networking configurations.<br>• Excellent problem-solving abilities and a demonstrated capacity to thrive in Agile team environments.<br>• Databricks Certified Data Engineer certification is highly preferred.

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