Data Solutions Architect & Analytics Engineer

Northwestern Mutual; Milwaukee (WI); On-site; USD 119,000 - 178,000; Full time

Job summary

Northwestern Mutual in Milwaukee, WI seeks a data engineer to lead data acquisition, cleansing, feature engineering, and the development of data products. You will partner with data consumers, mentor junior engineers, and apply CI/CD practices in an agile environment.

Strong Python, SQL, and cloud skills are required, with experience in distributed data systems and data lake architectures. The role offers competitive compensation and growth opportunities.

Qualifications

• Bachelor's degree required.
• 4+ years in data acquisition, cleansing, feature engineering, debugging and documentation.
• Experience with CI/CD concepts and agile development.
• Experience with AWS data services (S3, EMR, Spark) and data warehouses (Redshift/Snowflake).
• Proficiency with SQL, Python, and data lake design.
• Understanding of distributed data systems and analytics applications.

Responsibilities

• Lead day-to-day data acquisition, synthesis, and structuring for analytical consumption.
• Consult with data consumers to identify meaningful datasets.
• Lead data products development using CI/CD practices.
• Apply engineering best practices to analyze, design, develop and deploy data analytics products.
• Mentor junior engineers and lead code reviews.
• Participate in agile story authoring and demos.

Skills

Analytical Thinking

Data Analytics

Engineering Practices

Adaptive Communication

Problem Solving

Education

Bachelor's Degree

Tools

Dataverse

Power Platform

S3

Redshift

Snowflake

Spark

JupyterLab

Job description

Northwestern Mutual in Milwaukee, WI seeks a data engineer to lead data acquisition, cleansing, feature engineering, and the development of data products. You will partner with data consumers, mentor junior engineers, and apply CI/CD practices in an agile environment.

Strong Python, SQL, and cloud skills are required, with experience in distributed data systems and data lake architectures. The role offers competitive compensation and growth opportunities.