Data Engineer: Build Scalable Pipelines in Milwaukee

GetJobSmart; Milwaukee (WI); On-site; USD 100,000 - 125,000; Full time

Job summary

Meridian Premier Inc. in Milwaukee, WI is seeking a Data Engineer to design and maintain robust data infrastructure. You will collaborate with data scientists and analysts to translate data requirements into scalable pipelines while ensuring accuracy and availability across systems.

The role emphasizes data modeling, ETL processes, and modern technologies (Spark, Kafka, SQL/NoSQL). Office-based, full-time position with opportunities for mentorship and growth within a dynamic team.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.

Responsibilities

• Design, develop, and maintain data pipelines and infrastructure to support data processing and analysis.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, accuracy, and integrity through data validation, cleansing, and transformation processes.
• Optimize data storage and retrieval processes to improve performance and efficiency.
• Monitor and troubleshoot data-related issues to ensure system reliability and availability.
• Stay up-to-date with emerging technologies and industry best practices in data engineering.
• Participate in code reviews and contribute to the improvement of data engineering processes.
• Provide technical guidance and mentorship to junior team members.

Skills

Python

Java

Scala

SQL

NoSQL

Apache Spark

Hadoop

Kafka

ETL

Data modeling

Team collaboration

Education

Bachelor's degree in Computer Science, Data Science, or a related field

Tools

None

Job description

Meridian Premier Inc. in Milwaukee, WI is seeking a Data Engineer to design and maintain robust data infrastructure. You will collaborate with data scientists and analysts to translate data requirements into scalable pipelines while ensuring accuracy and availability across systems.

The role emphasizes data modeling, ETL processes, and modern technologies (Spark, Kafka, SQL/NoSQL). Office-based, full-time position with opportunities for mentorship and growth within a dynamic team.