Data Integration Engineer

About the Role

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning 90 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients’ financial well-being, we also work to strengthen local communities—and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report. Summary/Function: The Data Integration Engineer is responsible for designing, developing, supporting, and optimizing enterprise data integration solutions that enable the movement, transformation, and delivery of data across business systems. This role contributes to the development of scalable data pipelines, ETL/ELT processes, API integrations, and data services that support operational, regulatory, and analytical workloads within a financial services environment. Qualifications: • 3-5 years of experience in Data Engineering, Data Integration, or ETL development. • Experience working in financial services, banking, wealth management, brokerage, insurance, or other regulated industries preferred. • Experience supporting production data integration environments. • Experience with Microsoft cloud-based technologies in a hybrid architecture • Experience with cloud services (Microsoft Azure, AWS); MCSE/MCSA certifications preferred. • Advanced working TSQL knowledge and experience working with relational databases, query authoring, stored procedure development, end-to-end data pipeline development • Experience with ETL/ELT platforms such as: o SSIS o Azure Data Factory o Microsoft Fabric Data Pipelines • Experience with API and file-based integrations. • Experience with relational database pl

Key Responsibilities

• 3-5 years of experience in Data Engineering, Data Integration, or ETL development.
• Experience working in financial services, banking, wealth management, brokerage, insurance, or other regulated industries preferred.
• Experience supporting production data integration environments.
• Experience with Microsoft cloud-based technologies in a hybrid architecture
• Experience with cloud services (Microsoft Azure, AWS); MCSE/MCSA certifications preferred.
• Advanced working TSQL knowledge and experience working with relational databases, query authoring, stored procedure development, end-to-end data pipeline development

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.