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2 results for Data Engineer Ii in Lakewood, OH
- Cleveland, OH
- onsite
- Permanent / Full Time
- 75000 - 90000 USD / Yearly
- One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. <br><br>You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. <br><br>Essential Functions <br><br>Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. <br><br>Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. <br><br>Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. <br><br>Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. <br><br>Develop and maintain reusable data models for reporting, analytics, and operational use. <br><br>Add testing, monitoring, alerting, logging, and documentation to important data workflows. <br><br>Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. <br><br>Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. <br><br>Translate business needs into practical technical solutions with guidance from internal stakeholders. <br><br>Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. <br><br>Review and validate AI-generated work rather than accepting it without verification. <br><br>Learn unfamiliar systems and technologies as needed and share what you discover with the team. <br> <br>Knowledge, Skills & Abilities <br><br>Strong foundational SQL skills and experience working with relational data. <br><br>Working knowledge of Python, R, or another language used for data processing and automation. <br><br>Some experience building, modifying, or supporting ETL/ELT pipelines. <br><br>Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. <br><br>Basic experience with Git and modern software-development practices. <br><br>An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. <br><br>A dependable approach to execution, documentation, and follow-through. <br><br>Genuine curiosity and a willingness to learn technologies outside your current experience. <br><br>Practical experience using AI coding assistants or language models as part of a development workflow. <br><br>Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
- 2026-10-30T00:00:00Z
- Avon, OH
- onsite
- Permanent / Full Time
- 80000 - 100000 USD / Yearly
- We are looking for a Data Analyst to support data-driven decision-making for a growing organization in Avon, Ohio. This role is ideal for someone who combines strong analytical thinking with hands-on experience in reporting, pricing data, and process improvement. You will work across business systems and datasets to build reliable insights, streamline recurring work, and deliver clear outputs that help teams operate more effectively.<br><br>Responsibilities:<br>• Develop and maintain reports, dashboards, and analytical outputs that turn business data into actionable insights for stakeholders.<br>• Manage pricing-related information and core master data, helping ensure accuracy, consistency, and usability across operational processes.<br>• Build and enhance automated reporting solutions that connect with back-office platforms and reduce dependence on manual data preparation.<br>• Review existing workflows to identify inefficiencies, then apply Excel, AI-enabled tools, or system integrations to improve speed and reliability.<br>• Partner with cross-functional teams to gather reporting needs, clarify business questions, and translate requirements into practical analytics solutions.<br>• Monitor data quality across source systems and resolve inconsistencies that could affect reporting, forecasting, or operational decision-making.<br>• Create presentations and summary materials that clearly communicate findings, trends, and recommendations to business audiences.<br>• Iterate quickly on deliverables by incorporating feedback, refining outputs, and continuously improving the usefulness of analytical work.
- 2026-11-06T00:00:00Z