Job#: 3058084 Job Description: Title: Data Engineer Location: Cincinnati, Ohio (On-site) Duration: 2+ Month to start with Role Overview The Data Engineer designs, builds, and supports scalable, production-ready data solutions using enterprise technologies. This position requires translating business problems into clearly defined technical requirements and implementable data solutions. The selected professional will navigate ambiguous requirements, understand existing business processes, and contribute throughout the discovery, design, implementation, testing, deployment, and support phases. This role supports the modernization of financial data flows and utilizes approved AI-assisted development tools to improve delivery speed, accuracy, and documentation quality. Key Responsibilities - Partner with business and technical stakeholders to translate business problems into technical requirements and data solutions. - Analyze business processes, source data, existing system behavior, and downstream usage to identify underlying technical issues. - Design, build, test, deploy, and support production data pipelines using Snowflake, dbt, SQL, and approved enterprise technologies. - Refine high-level features into workable Agile stories with clear technical requirements and acceptance criteria. - Participate in Agile planning, backlog refinement, estimation, design discussions, sprint execution, and retrospectives. - Develop scalable and reusable data models, transformations, and integration patterns. - Support the analysis and modernization of legacy ETL and file-based data flows. - Implement appropriate data testing, reconciliation, monitoring, alerting, and exception-handling controls. - Design reliable processing that supports reruns, source corrections, backfills, and recovery from production failures. - Collaborate on a shared production support rotation and assist with critical data-processing incidents. Required Qualifications Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or an equivalent combination of education and experience. Experience: Typically three or more years of data-engineering, ETL/ELT, or comparable software-engineering experience. Demonstrated experience contributing to data solutions from problem definition through production implementation and support is required. Technical Skills: Hands-on experience with Snowflake, dbt, and SQL. Experience with Git-based development and code-review practices is required. Proven ability to analyze and modernize complex or poorly documented data flows is necessary. Preferred Qualifications - Experience with legacy ETL platforms such as DataStage, Informatica, or comparable technologies. - Proficiency with Python and CI/CD pipelines. - Experience using AI-assisted development tools such as GitHub Copilot. - Familiarity with enterprise scheduling systems. - Treasury, liquidity, asset-liability management, funds transfer pricing, financial-risk, or regulatory-data experience. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.<
