Archived listing. The details below describe a past opening.
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.
- Strong hands-on experience in data engineering with Python and Apache Spark.
- Working knowledge of Apache Hadoop and Apache Kafka in large-scale data environments.
- Proven ability to design, build, and support ETL processes for structured and unstructured data.
- Experience working with secure data integrations and enterprise-grade data platforms.
- Solid understanding of data quality, performance tuning, and production support practices.
- Ability to collaborate effectively with technical teams and business stakeholders.
- Strong communication skills with the ability to explain technical concepts clearly.
- Experience contributing to scalable, maintainable engineering standards and documentation.