Enterprise Data Engineer

Description 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. Requirements • At least 5 years of experience in IT development or data engineering roles with a strong focus on enterprise data solutions.

• Hands-on expertise with Snowflake, ETL development, data pipelines, and data transformation in modern cloud environments.

• Experience working with dbt, Azure Data Factory, Azure Data Lake, SSIS ETL, or similar technologies used for orchestration and data movement.

• Strong understanding of data management principles, data lakes, and scalable integration design.

• Ability to communicate clearly with both technical teams and business stakeholders in written and verbal settings.

• Demonstrated problem-solving skills with the ability to investigate issues and recommend effective technical solutions.

• Bachelor’s degree in computer science, information systems, management information systems, or a related field is preferred.

• Experience in financial services or insurance environments and Snowflake certification are preferred. Technology Doesn't Change the World, People Do.®

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