Hybrid Data Engineer: Scalable Pipelines & ML

Northwestern Mutual Group; United States; Hybrid; USD 98,000 - 160,000; Full time

Benefits offered by this job

Telecommuting 2 days/week

Job summary

The Northwestern Mutual Life Insurance Company in Milwaukee, WI seeks a Data Engineer to design and build scalable data pipelines and models using Big Data technologies. You will ingest, transform, and load data from multiple sources to power analytics, reporting, and ML workflows.

Responsibilities include developing analytical datasets and dashboards with SQL and Python, implementing data governance, quality checks, and monitoring, and collaborating with MLOps and platform teams in an Agile

Qualifications

• Bachelor's degree in CS/CE/IT/Data Science or related field with 2 years of data engineering experience.
• 2 years of experience with data pipelines, ETL/ELT workflows, using Python and SQL.
• Experience with JVM-based Big Data technologies (Java/Scala) and Apache Spark/PySpark.
• Familiarity with Agile/Scrum, DevOps, and data integration patterns.

Responsibilities

• Design and build scalable data pipelines and data models.
• Ingest, transform, and load data from multiple source systems.
• Develop data governance, metadata management, and data quality frameworks.
• Mentor junior developers and lead cross-functional collaboration.
• Deploy ML models and AI solutions.

Skills

SQL

Python

Big Data

ETL/ELT

Data modeling

Agile/Scrum

Education

Bachelor's degree in CS/CE/IT/Data Science

Tools

Apache Spark

PySpark

Java/Scala

Job description

The Northwestern Mutual Life Insurance Company in Milwaukee, WI seeks a Data Engineer to design and build scalable data pipelines and models using Big Data technologies. You will ingest, transform, and load data from multiple sources to power analytics, reporting, and ML workflows.

Responsibilities include developing analytical datasets and dashboards with SQL and Python, implementing data governance, quality checks, and monitoring, and collaborating with MLOps and platform teams in an Agile