Enterprise Data Engineer

Job Description

Job 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.• 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.