Data Engineer: ML Pipelines & AI Solutions (Remote 2d/wk)

Northwestern Mutual Group

Milwaukee (WI)

Hybrid

USD 98,000 - 160,000

Full time

5 days ago
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Benefits offered by this job

Telecommuting 2 days/week

Job summary

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

You will build analytical datasets and dashboards with SQL and Python, develop ML features, monitor models in production, and contribute to data governance and data quality initiatives.

Qualifications

  • 2 years of data engineering experience with Python and SQL.
  • Big Data technologies including JVM (Java, Scala), Apache Spark, PySpark.
  • Designing data models, schemas, and storage architectures for analytical use.
  • Agile/Scrum software development and DevOps practices in a team.
  • Data Integration: ELT/ETL, replication, event streaming, virtualization.

Responsibilities

  • Design and build scalable data pipelines and data models.
  • Ingest, transform, and load data from multiple source systems.
  • Develop analytics datasets, KPI metrics, and dashboards.
  • Build ML features and monitor model performance in production.
  • Establish data governance, quality, and metadata standards.

Skills

Python
SQL
Apache Spark
PySpark
ETL/ELT
Agile/Scrum
DevOps

Education

Bachelor’s degree in Computer Science/Engineering/Info Tech/Data Science

Tools

Java
Scala

Job description

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

You will build analytical datasets and dashboards with SQL and Python, develop ML features, monitor models in production, and contribute to data governance and data quality initiatives.

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