Remote Data Engineer – AI/ML Pipelines & Analytics

Northwestern Mutual; Milwaukee (WI); Hybrid; USD 98,000 - 160,000; Full time

Benefits offered by this job

Telecommuting 2 days/week

Job summary

Northwestern Mutual Life Insurance Company in Milwaukee, WI seeks a Data Engineer to design and build scalable data pipelines and data models using Big Data technologies. You will ingest, transform, and load data from multiple sources, architect data infrastructure for analytics, and develop dashboards for leadership.

The role requires Python, SQL, Apache Spark (PySpark), and strong data modeling skills, with Agile/DevOps experience.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Data Science, or a related field.
• At least 2 years of experience developing data pipelines, ETL/ELT workflows, and data processing using Python and SQL.
• Experience with Big Data technologies including JVM, Apache Spark, PySpark for large-scale processing.
• Designing data models, schemas, and storage architectures for analytical and operational use.
• Familiarity with Agile/Scrum and DevOps practices in a collaborative team.
• Experience with data integration patterns and tooling (ELT/ETL, replication, event streaming).
• Awareness of software quality standards and best practices.

Responsibilities

• Design and build scalable data pipelines and data models using Big Data tech.
• Ingest, transform, and load structured and unstructured data from multiple sources.
• Develop analytical datasets, KPIs, and dashboards for stakeholders and leadership.
• Create ML-ready data features and pipelines for model training and deployment.
• Monitor data quality, lineage, and model performance in production.

Skills

Data pipelines

ETL/ELT

Python

SQL

Spark

PySpark

JVM

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Spark

PySpark

SQL

Python

JVM (Java/Scala)

Job description

Northwestern Mutual Life Insurance Company in Milwaukee, WI seeks a Data Engineer to design and build scalable data pipelines and data models using Big Data technologies. You will ingest, transform, and load data from multiple sources, architect data infrastructure for analytics, and develop dashboards for leadership.

The role requires Python, SQL, Apache Spark (PySpark), and strong data modeling skills, with Agile/DevOps experience.