Search jobs now Find the right job type for you Create a job alert Explore how we help job seekers Contract talent Permanent talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources 2026 Salary Guide Demand for Skilled Talent Report Job Market Outlook Press Room Tech insights Labor market overview AI in recruiting Navigating the AI era Staffing for small businesses Cost of a bad hire Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

1 result for Data Engineer in Cincinnati, OH

Senior Databricks Engineer
  • Cincinnati, OH
  • remote
  • Temporary / Contract
  • 76.95 - 89.1 USD / Hourly
  • <p>We are looking for an experienced Senior Databricks Engineer to support enterprise data initiatives. This Long-term Contract position will focus on building and enhancing scalable data solutions, including extracting data from ServiceNow and structuring it for downstream ARDoc consumption within a broader enterprise architecture program. The role will partner with engineering, analytics, and platform teams to deliver reliable, governed, and high-performing data pipelines on Databricks.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain robust data pipelines in Databricks using Apache Spark to support enterprise reporting and analytical use cases.</p><p>• Extract and transform data from ServiceNow, then create and manage structured tables that supply ARDoc as part of a larger architecture initiative.</p><p>• Design layered data models using Delta Lake practices to improve scalability, data usability, and long-term maintainability.</p><p>• Configure and manage Databricks jobs, workflows, and compute resources to improve processing efficiency and platform stability.</p><p>• Investigate performance issues across Spark workloads and implement tuning strategies that improve speed, reliability, and cost control.</p><p>• Establish data governance practices through cataloging, lineage visibility, and secure access controls within the Databricks environment.</p><p>• Work closely with data scientists, analysts, and platform teams to deploy production-ready data assets and support advanced analytics needs.</p><p>• Provide technical guidance to other engineers by promoting engineering standards, reviewing designs, and sharing platform best practices.</p>
  • 2026-06-08T00:00:00Z