Sr. Data Warehouse Engineer

We are looking for a Sr. Data Warehouse Engineer. This is a hybrid, full-time permanent hire position in Raleigh, North Carolina with our client. In this role as a Sr. Data Warehouse Engineer, you will be responsible for complex data workflows, optimization, and data modeling. As a Sr. Data Warehouse Engineer, you will be improving the Enterprise Data Warehouse (EDW), building out new data marts for business, refining ETL/ELT processes, and working more closely with data governance, performance tuning, and automation. Sorry no visa transfer or sponsorship available at this time.

Responsibilities as a Sr. Data Warehouse Engineer:

• Design, develop, and optimize scalable ETL/ELT processes to support data integration


• Collaborate with data analysts and business stakeholders to understand data requirements


• Work independently on assign projects to support business initiatives within agile delivery teams


• Ensure data quality and consistency by identifying and resolving data integrity issues


• Implement and monitor data governance, security, and compliance policies


• Support performance tuning of SQL queries and database structures


• Automate data workflows and improve monitoring and alerting processes


• Troubleshoot and resolve complex data pipeline and infrastructure issues


• Document and standardize best practices for data engineering processes

Required skills and qualifications as a Sr. Data Warehouse Engineer:

• 8+ years of experience in data engineering, ETL/ELT development, or database administration


• Insurance industry experience preferred


• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases


• Solid understanding of data warehouse, data lake, and data modeling concepts


• Experience optimizing SQL queries and database performance


• Strong analytical, problem-solving, and communication skills


• Ability to work independently while collaborating with cross-functional teams


• BA/BS degree (Data, Computer Science or other related field of study preferred)