Data Engineer: Build Scalable Cloud Data Pipelines

Saigepartners; Champaign (IL); Hybrid; USD 125,000 - 135,000; Full time

Job summary

Saige Partners is seeking a talented Data Engineer to join a high-performing engineering team focused on building modern data platforms that power analytics, machine learning, and business intelligence solutions. Location: Columbus, OH (Onsite - based out of Champaign, IL).

You will design, develop, and optimize scalable data pipelines, build data platforms for analytics, and collaborate with data scientists, consultants, and stakeholders to deliver trusted data.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics or related quantitative field.
• 3–6 years of experience as a Data Engineer or in a related role.
• Strong experience designing and building scalable, data-intensive applications and pipelines.

Responsibilities

• Design, develop, and optimize scalable data pipelines that integrate data from multiple sources.
• Build and maintain data platforms to support analytics, reporting, and predictive modeling.
• Develop, test, and troubleshoot data products to meet evolving needs.

Skills

Python

SQL

Apache Spark

Databricks

AWS

Airflow

Git

CI/CD

Infrastructure as Code

Data pipelines

Analytical skills

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Mathematics

Tools

Apache Airflow

Databricks

Git

CI/CD

Job description

Saige Partners is seeking a talented Data Engineer to join a high-performing engineering team focused on building modern data platforms that power analytics, machine learning, and business intelligence solutions. Location: Columbus, OH (Onsite - based out of Champaign, IL).

You will design, develop, and optimize scalable data pipelines, build data platforms for analytics, and collaborate with data scientists, consultants, and stakeholders to deliver trusted data.