Data Engineer

Job Description

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Data Engineer
Location: Champaign, IL
Job Type: Direct Hire

About the Opportunity

Saige Partners is partnering with a growing, technology-driven organization seeking a Data Engineer to join an innovative engineering team. This is an exciting opportunity for a data professional who enjoys building scalable data solutions that power advanced analytics, machine learning, and business intelligence initiatives. You'll collaborate with engineers, data scientists, consultants, and business stakeholders to deliver reliable, high-quality data solutions that drive meaningful business decisions.

If you're passionate about modern data architecture, cloud technologies, and solving complex data challenges, we'd love to connect with you.

What You'll Do

• Design, develop, and maintain scalable data pipelines that ingest and transform data from internal and external sources.
• Build and enhance data platforms that support analytics, reporting, and predictive modeling initiatives.
• Develop, test, troubleshoot, and optimize data products to ensure performance, scalability, and reliability.
• Monitor data quality, integrity, and system performance to ensure consistent access to critical business information.
• Partner with cross-functional teams to improve data accessibility and usability across the organization.
• Implement modern engineering practices including automated testing, CI/CD, version control, and infrastructure as code.
• Continuously evaluate emerging technologies and recommend improvements to existing data architecture and processes.
• Support high-impact client and business initiatives by delivering reliable, scalable data solutions.

What We're Looking For

• 3-6 years of experience as a Data Engineer or in a related data engineering role.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or another quantitative discipline.
• Strong experience designing and developing data-intensive applications and pipelines.
• Proficiency with Python and SQL , with experience writing efficient, maintainable code for large datasets.
• Experience with distributed data processing technologies such as Apache Spark or Databricks .
• Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP) .
• Experience using workflow orchestration tools such as Apache Airflow .
• Knowledge of modern software development practices including Git, CI/CD pipelines, automated testing, and Infrastructure as Code.
• Strong troubleshooting and analytical skills with a focus on data quality and reliability.
• Excellent communication and collaboration skills with the ability to work effectively across technical and business teams.
• Self-motivated, detail-oriented, and eager to learn new technologies.
• Experience in financial services, consulting, or risk management is a plus.

Why Join This Team?

• Make an immediate impact with meaningful ownership and autonomy from day one.
• Work on challenging, data-driven projects across multiple industries.
• Collaborate with highly skilled engineers, consultants, and data scientists.
• Build solutions that directly influence strategic business decisions.
• Gain exposure to modern cloud platforms, advanced analytics, and emerging technologies.
• Be part of a collaborative culture that values innovation, continuous learning, and technical excellence.
• Enjoy opportunities for professional growth while working on high-visibility initiatives.

About Saige Partners

At Saige Partners, we believe great people build great companies. We connect exceptional talent with organizations where they can make an immediate impact and build long-term careers. Our recruiting approach is relationship-focused, transparent, and centered on finding the right fit for both our clients and candidates.