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.
Responsibilities:
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.
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.
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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.
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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.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 04620-0013542289
- Posted 48 minutes ago