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2 results for Data Engineer in Ankeny, IA

Data Engineer/Modeler
  • West Des Moines, IA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for a Data Engineer/Modeler to join a long-term contract opportunity in West Des Moines, Iowa. This position focuses on shaping enterprise semantic models and ontology frameworks that make business information consistent, governed, and usable across analytics, reporting, AI, and advanced data initiatives. The ideal candidate will combine strong data modeling expertise with hands-on semantic and knowledge graph experience, along with a solid understanding of insurance data domains. Working closely with technical teams and business partners, this role will help create a trusted data foundation that supports enterprise decision-making.<br><br>Responsibilities:<br>• Build and enhance enterprise ontologies, semantic structures, taxonomies, and knowledge graph models to represent core business concepts in a machine-readable format.<br>• Define entities, attributes, hierarchies, relationships, business rules, and performance metrics across multiple data domains to support a consistent semantic layer.<br>• Develop models for insurance-focused subject areas such as policy, claims, underwriting, customer, product, sales, and producer or agency data.<br>• Translate logic captured in reports, dashboards, operational workflows, stored procedures, and stakeholder knowledge into governed semantic and data models.<br>• Apply both business-led and source-system-driven modeling approaches to align conceptual designs with underlying data structures.<br>• Assess and improve AI-assisted ontology outputs to ensure semantic accuracy, usability, and alignment with enterprise standards.<br>• Connect ontology concepts to physical source systems and confirm model integrity against trusted systems of record.<br>• Manage model promotion and version control across development, testing, and production environments using Git and established release practices.<br>• Partner with architects, engineers, BI teams, analysts, and business stakeholders to deliver scalable semantic solutions and support governance, lineage, metadata, and data quality efforts.
  • 2026-09-18T00:00:00Z
Enterprise Data Engineer
  • West Des Moines, IA
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing.<br>• Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies.<br>• Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange.<br>• Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions.<br>• Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives.<br>• Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions.<br>• Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors.<br>• Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability.<br>• Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
  • 2026-09-16T00:00:00Z