Software Engineer II

What You'll Do

• Apply engineering best practices in order to analyze, develop, deploy and support software solutions.

• Develop software using continuous Deployment and integration practices.

• Participate in an Agile implementation and maintenance of source control and release procedures.

• Participate in Code Reviews and feedback to the Organization.

• Contribute to a collaborative work environment in which all team members are respected regardless of their individual differences and are motivated to improve both their individual and team contributions.

• Operations Management Practices Maturity

• Monitor data and analytics/AI platform health and proactively identify operational risks.

• On-call/Off-hour expectations

What You'll bring to the Role

• Bachelor's Degree in Computer Science, Information Systems, Data Science, or related fields

• Code Knowledge: Python, JVM (Java, Scala), Apache Spark, SQL

• Aware of Agile methodologies/DevOps environment.

• Intermediate programming skills.

• Self-motivated and able to work with minimal direction.

• Knowledge of Large Data Platforms (Databricks, Snowflake, etc.) and Cloud Platforms (AWS, Azure, etc.)

Skills You'll Have

Technical Problem Solving- Analyzes technical issues, evaluates solutions, and resolves software engineering challenges using sound engineering practices.

Root Cause Analysis & Decision Quality- Uses structured problem-solving techniques to identify root causes, troubleshoot issues, and make data-driven decisions.

DevOps- Applies continuous integration and continuous delivery practices to improve software quality, deployment efficiency, reliability, and scalability.

Data Platform Management- Familiar and Capable of operating within a Large Data Platform Context

Cloud and Data Services- Uses a cloud native line of thinking when it comes to engineering solutions

Compensation Range:

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Geographic Specific Pay Structure:

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We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.

Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!

Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

Data Literacy (NM), Business Acumen (NM), Data Analytics (NM), SQL (NM), Data Interpretation (NM), Cross Functional Partnering & Planning (NM), Data ETL (NM), Data Security (NM), Programming Languages (NM), DevOps (NM), Engineering Expertise & Practices (NM), Analytical Thinking (NM), Databases & Data Platforms (NM), Data Integrity (NM), Strategic Thinking (NM), Root Cause Analysis & Decision Quality (NM), Adaptive Communication (NM)

We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging.

• Flexible work schedules
• Concierge service
• Comprehensive benefits
• Employee resource groups