Data Engineer III

Northwestern Mutual Wealth and Investment Management is our company’s rapidly growing investment management business; building on our customers’ trust, IPS is a $300B AUM “startup”, inspiring change across the organization. Our Technology unit is leading the way in redefining how technology is designed and used. In Managed Investments we are reinventing ourselves, reinforcing our core values while embracing modern practices and groundbreaking technologies, to enable our business to grow at an outstanding rate. We are looking for phenomenal people to help drive this transformation and shape our future.

We are looking for a Data Engineer III to join our team. Our team is responsible for developing and supporting the investment data platform to provide streamlined and governed access to trusted data. The team handles integration to third-party vendors and/or internal data stores as needed so that the back-end implementation is not exposed to consumers. Technologies used by the team include Snowflake, DBT, AWS, Kubernetes.

Primary Duties & Responsibilities:

• Build and maintain an investment data platform running on Snowflake data cloud

• Apply engineering best practices to analyze, design, 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 team

• Explain technical solutions to technical teams.

• 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.

• Identify data quality issues and their root causes. Propose fixes and design data audits

Qualifications:

• Bachelor's Degree or equivalent experience

• 2-4 years of professional experience.

• At least 2 years of professional software engineering, debugging, analysis, and software documentation experience.

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

• Production experience with Snowflake and DBT or other cloud data technologies is a plus

• Experience building and maintaining ETL pipelines in production

• Production experience or familiarity with AWS serverless patterns, CI/CD using GitLab, K8s, and deployment using terraform concepts is a plus

• Experience with Agile methodologies/DevOps environment.

• Intermediate understanding of database structures, theories, principles, and practices.

• Intermediate understanding of Data Quality and Data Concepts.

• Basic understanding of Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming, and Virtualization to support batch and real-time data needs.

• Has or develops understanding of 2-4 subject areas/domains of data.

• Understanding of investment management business domain is a plus

• Self-motivated and able to independently execute a plan.

• Intermediate programming skills.

• Seeks to apply Software and Quality Standards.

• Exceptional analytical, conceptual, and problem-solving skills.

Benefits:

• Tuition reimbursement, commuter plans, and paid time off

• Highly competitive compensation that include base salary plus bonus

• Medical/Dental/Vision plans, 401(k), pension program

#LI-Hybrid

Northwestern Mutual pays on a geographic-specific salary structure and placement in the salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity as well as the cost of labor in the market; and other conditions of employment. At Northwestern Mutual, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Please note that the salary range listed in the posting is the standard pay structure. Positions in certain locations (such as California) may provide an increase on the standard pay structure based on the location. Please click here for additional information relating to location-based pay structures.

We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.

If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for information pertaining to compensation and benefits.