Data Engineer

We are looking for a Data Engineer to join a Long-term Contract opportunity based in Cincinnati, Ohio. This role will help shape enterprise-grade data applications by combining strong engineering practices with thoughtful user-focused delivery, supporting solutions that turn complex information into reliable business insights. The position works closely with cross-functional teams to build scalable data pipelines, enable high-quality analytics, and contribute to modern application experiences that are secure, dependable, and easy to use.

Responsibilities:
• Design and build scalable data pipelines that collect, transform, and deliver enterprise data for analytics and application use.
• Develop and maintain ETL workflows using Python, Apache Spark, Hadoop, and Kafka to support reliable movement of large and complex datasets.
• Partner with business, analytics, backend, and cloud teams to translate reporting and decision-support needs into practical data engineering solutions.
• Establish reusable standards for data integration, quality checks, and processing patterns to improve consistency across products.
• Optimize data workflows for performance, stability, and maintainability in production environments.
• Support secure integration between data platforms, governed datasets, and downstream applications or APIs.
• Contribute to testing, monitoring, and troubleshooting practices to ensure dependable data availability and issue resolution.
• Document data processes, technical decisions, and implementation standards so teams can scale solutions more effectively.