Senior Data Engineer

Northwestern Mutual

Northwestern Mutual invests in its employees, fostering innovation and growth. The Senior Data Engineer role is critical for building and supporting the data landscape for the Client Communications team. This team is dedicated to creating high-quality applications and software that enable business expansion.

In this role you can expect to have the responsibilities:

• Execute data modeling and implement the strategic data vision for Client Communications.
• Collaborate with cross-functional teams to define technical specifications and provide architectural solutions.
• Debug and troubleshoot to ensure application stability and reliability.
• Manage backlog items and contribute to Git repositories.
• Show technical leadership and mentor team members.

This role comes with the following benefits:

• Flexible work schedules.
• Concierge services.
• Comprehensive benefits.
• Employee resource groups.

This role requires you to have:

• Bachelor’s degree or equivalent experience.
• 4 - 6+ years in data engineering.
• Proficiency in data modeling tools such as ERwin, ER/Studio, PowerDesigner.
• Experience with structured and unstructured data design, e.g., RDBMS vs NoSQL.
• Advanced SQL skills.
• Experience with cloud platforms and databases.

You would benefit from having:

• Experience with PowerBI.
• Previous Fintech experience.
• Full Stack development experience with modern languages like JavaScript, and frameworks like Spring Boot and Docker.
• Experience with Ansible, GitLab, Terraform.

Northwestern Mutual is committed to diversity and provides equal opportunity to all applicants, regardless of protected characteristics. Their salary structure varies based on geographic location and other factors.