Data Engineer Robert Half - 3.9 Cincinnati, OH Job Details Temporary | Contract 20 hours ago Benefits Disability insurance Dental insurance 401(k) Vision insurance Qualifications Content creation for technical audiences Data Integration (Data management) Technical documentation Spark Process design Process improvement Mid-level Data quality management Data integrity and documentation ETL process automation Spark implementation Compliance documentation Scalability Kafka Real-time data processing implementation Technical writing experience within technology Batch data processing Cross-functional collaboration Communication skills Python Cross-functional communication Hadoop Full Job Description We are looking for a Data Engineer to support data-focused initiatives with a strong emphasis on controls, process clarity, and technical documentation. This is a Long-term Contract position expected to begin as a 3-4 month engagement at 40 hours per week, with remote work flexibility. The ideal candidate will help strengthen data workflows, improve reliability across engineering processes, and create well-organized documentation that supports ongoing delivery and compliance.

Responsibilities:

Design, build, and maintain data pipelines that support reliable movement and transformation of information across platforms. Develop clear technical documentation, data process records, and control-related artifacts to improve transparency and audit readiness. Use Python, Apache Spark, and ETL frameworks to prepare, cleanse, and transform large datasets for downstream consumption. Work with Hadoop- and Kafka-based environments to support scalable data processing and streaming or batch integration needs. Review existing data workflows to identify gaps in controls, consistency, and documentation quality, then recommend practical improvements. Collaborate with cross-functional stakeholders to clarify data requirements, align engineering deliverables, and support operational continuity. Monitor pipeline performance and troubleshoot data issues to maintain dependable processing and accurate outputs. Hands-on experience as a Data Engineer working with modern data integration and transformation solutions. Strong proficiency in Python for data processing, automation, and pipeline development. Experience using Apache Spark for large-scale data transformation and distributed processing. Working knowledge of Apache Hadoop ecosystems and related big data concepts. Familiarity with Apache Kafka for data streaming, event handling, or real-time integration scenarios. Practical experience with ETL design, development, and support in production environments. Ability to produce organized technical documentation and maintain strong process controls within data engineering work. Strong communication skills and the ability to work effectively in a remote, collaborative setting. Technology Doesn't Change the World, People Do. ® Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "," you're agreeing to Robert Half's Terms of Use and Privacy Notice .