> Markdown version of [/jobs/ext/4706232-it-data-integration-delivery-consultant-v](https://www.wearedevelopers.com/jobs/ext/4706232-it-data-integration-delivery-consultant-v). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Data & Integration Delivery Consultant V - **Company:** Robert Half - **Location:** Sun Prairie, WI, United States - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Big Data, Cloud Computing, Software Quality, Databases, Information Engineering, Data Integration, Information Extraction, Python (Programming Language), Machine Learning, Metadata, Performance Tuning, SQL Databases, Enterprise Software Applications, System Availability, Prompt Engineering, Apache Spark, Model Validation, Enterprise Integration, Data Management, Data Pipelines - **Published:** November 13, 2026 - **Apply:** https://dejobs.org/x/x/15E1AE19A5964857B9E55E87882114C5/job/ ## About the Role * Uphold standards for documentation, data quality, security, compliance, metadata, and operational support throughout the solution lifecycle. Requirements * Demonstrated experience delivering data engineering and integration solutions in cloud-based environments using Python, SQL, and large-scale data processing tools. * Strong background working with databases, analytics workflows, and data modeling across diverse structured and unstructured data sources. * Hands-on knowledge of machine learning development, including model evaluation, deployment, and ongoing production monitoring. * Experience designing or supporting generative AI applications, including prompt design, retrieval approaches, vector-based search, and API integration. * Familiarity with engineering practices related to automation, code quality, documentation, security, and operational reliability. * Ability to work effectively with insurance-related data and business processes, including compliance and quality-focused requirements. * Strong analytical and problem-solving skills with the ability to translate business objectives into technical implementation plans. Technology Doesn't Change the World, People Do.® ## Description Description We are looking for an experienced IT Data & Integration Delivery Consultant V to support advanced data engineering, analytics, and AI solution delivery for insurance-focused initiatives in Sun Prairie, Wisconsin. This Contract position is ideal for a hands-on specialist who can turn complex business needs into scalable data pipelines, production-ready machine learning assets, and secure generative AI applications. The role combines deep technical development with practical collaboration across engineering, analytics, and business teams to deliver reliable, high-quality solutions in a cloud-based environment., * Create and maintain robust data pipelines and reusable data products using Python, SQL, Spark-based processing, and modern cloud data platforms. * Examine complex insurance data to uncover trends, outliers, and actionable insights that support business and operational decision-making. * Develop ingestion, transformation, and validation workflows that bring together structured and unstructured information from databases, APIs, files, and enterprise systems. * Partner with cross-functional stakeholders to convert business challenges into analytics, machine learning, or generative AI solutions aligned with enterprise goals. * Build, deploy, and monitor machine learning models, ensuring dependable performance, maintainability, and readiness for production use. * Design enterprise generative AI capabilities such as retrieval-augmented experiences, document intelligence, summarization, classification, and conversational tools. * Implement secure and governed AI integrations that connect enterprise data sources with large language model applications and reusable service components. * Improve platform reliability, scalability, and cost efficiency through performance tuning, automation, observability, and engineering best practices.