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.

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