Hybrid Analytics & Data Solutions Consultant

northwesternmutual; Milwaukee (WI); Hybrid; USD 119,000 - 178,000; Full time

Job summary

Northwestern Mutual in Milwaukee, WI, is seeking a data engineering professional to lead end-to-end data product development and analytics initiatives. You will drive data acquisition, cleaning, feature engineering, and modeling workflows, while applying best practices for CI/CD and data governance.

The role requires strong Python, SQL, ETL, and cloud skills, with experience in Power Platform technologies and modern data warehouses.

Qualifications

• Bachelor's degree required.
• Experience designing and developing solutions using Microsoft Power Platform technologies (Power Apps, Power Automate, Power BI, Dataverse).
• At least 4 years of professional experience in data acquisition, cleansing, feature engineering, debugging and documentation.

Responsibilities

• Lead day-to-day work to acquire, analyze, combine, synthesize, and structure data with clear definitions and sources.
• Consult with data consumers to identify meaningful datasets for analytical consumption
• Lead day-to-day development of data products using continuous deployment and integration practices
• Apply engineering best practices to analyze, design, develop, deploy and support data analytics products
• Participate in agile story authoring, sizing, and demo sessions for product features
• Lead code reviews and provide feedback to the team
• Mentor junior engineers

Skills

Power Platform

Python

SQL

ETL

Agile

Cloud

Data lake

Machine learning

Education

Bachelor's Degree

Tools

AWS

Redshift

Snowflake

JupyterLab

Sagemaker

Data warehouses

Adobe Analytics

Heap

Job description

Northwestern Mutual in Milwaukee, WI, is seeking a data engineering professional to lead end-to-end data product development and analytics initiatives. You will drive data acquisition, cleaning, feature engineering, and modeling workflows, while applying best practices for CI/CD and data governance.

The role requires strong Python, SQL, ETL, and cloud skills, with experience in Power Platform technologies and modern data warehouses.