About this opportunity
Robert Half lists this Data Engineer opportunity in oskaloosa, Iowa. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Data EngineerShape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes.What You'll DoDesign and develop scalable data models, semantic layers, and enterprise data solutionsBuild trusted data structures that support analytics, reporting, AI, and business intelligence initiativesDevelop and optimize cloud-based data pipelines and integrationsImprove data governance, lineage, metadata management, and observability practicesCreate automated data quality and validation frameworksImplement CI/CD processes and modern DataOps best practicesOptimize SQL performance across warehouses, lakehouses, and reporting environmentsPartner with analysts and business stakeholders to transform complex problems into actionable solutionsContribute to technical standards, mentoring, documentation, and architectural best practicesWhat We're Looking ForStrong experience with data modeling and semantic modelingHands-on experience with Microsoft Fabric, Azure, and Power BIAdvanced SQL development and performance optimization skillsExperience with Git, CI/CD, and modern data engineering practicesAbility to translate business requirements into scalable technical solutionsExperience developing enterprise data pipelines and analytics platformsA plus if you have data governance, data warehouse, data lake and or DBT experience
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.