Sr Data Engineer at Northwestern Mutual Milwaukee, WI

Downtown Boulder Partnership; Milwaukee (WI); On-site; USD 100,030 - 185,770; Full time

Benefits offered by this job

Flexible work schedules

Concierge service

Comprehensive benefits

Employee resource groups

Job summary

Northwestern Mutual is looking for a Senior Data Engineer in Milwaukee, WI, who will apply engineering best practices to develop and maintain software solutions. The ideal candidate should have at least 4 years of experience, a Bachelor's Degree, and proficiency in AWS technologies like Lake Formation and Aurora.

This position offers a competitive pay range of $100,030.00 to $185,770.00 depending on skills and experience. Additional benefits include flexible work schedules and comprehensive benefits.

Qualifications

• Bachelor's Degree required.
• At least 4 years of experience in data engineering, debugging, and analysis.
• AWS experience, particularly with Lake Formation and Aurora.

Responsibilities

• Apply engineering best practices to software solutions.
• Develop software using continuous deployment and integration.
• Participate in Agile implementation and source control maintenance.

Skills

Data engineering

Problem-solving

Agile methodologies

AWS

Python

Node

Data Quality

Basic understanding of database structures

Education

Bachelor's Degree

Tools

Collibra

ELT/ETL

Job description

Sr Data Engineer job at Northwestern Mutual. Milwaukee, WI.

At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.

Primary Duties & Responsibilities

• Apply engineering best practices in order 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.
• 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.
• At least 4 years of professional data engineering, debugging, analysis, and software documentation experience.
• AWS experience, lake formation and Aurora, Python and Node.
• Integration with Collibra or similar is a nice to have.
• Experience with Agile methodologies/DevOps environment.
• Basic understanding of database structures, theories, principles, and practices.
• Basic 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 4-6 subject areas/domains of data.
• Proficient craftsman on Software and Quality Standards.
• Advanced programming skills.
• Ability to explain technical solutions to technical teams.
• Self‑motivated and able to work with minimal direction.
• Exceptional analytical, conceptual, and problem‑solving skills.

Compensation Range

Pay Range - Start: $100,030.00

Pay Range - End: $185,770.00

Northwestern Mutual pays on a geographic‑specific salary structure. Placement within the range depends on skills, education, experience, and other factors.

Equal Opportunity Employer Statement

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.

California, Colorado, New York City, Washington or Outside Corporate Location Information

If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please see compensation and benefits information for those regions.

Benefits

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