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.

Responsibilities:

• Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing.
• Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies.
• Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange.
• Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions.
• Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives.
• Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions.
• Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors.
• Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability.
• Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.