Data Engineer — Onsite Columbus: Scalable Cloud Pipelines

Saigepartners; Columbus (OH); On-site; USD 125,000 - 135,000; Full time

Job summary

Saige Partners in Columbus, OH is seeking a Data Engineer to design and optimize scalable data pipelines and platforms powering analytics, ML, and BI. This onsite role offers direct impact across engineering, data science, and business teams.

You will build robust data workflows, ensure data quality, and implement CI/CD and IaC while collaborating with stakeholders to deliver actionable insights for clients.

Qualifications

• 3–6 years of experience in a Data Engineer role.
• Strong Python and SQL skills for large datasets.
• Experience with Spark/Databricks and cloud platforms.

Responsibilities

• Design, develop, and optimize scalable data pipelines.
• Build data platforms supporting analytics, reporting, and models.
• Develop, test, troubleshoot, and enhance data products.
• Monitor data quality, integrity, and availability.
• Collaborate across engineers, data scientists, consultants, and stakeholders.
• Implement automated testing, version control, CI/CD, and IaC.
• Evaluate new tools to improve performance and reliability.
• Deliver data-driven solutions with measurable business value.

Skills

Python

SQL

Spark/Databricks

Cloud platforms

Airflow

CI/CD/IaC

Data quality

Collaboration

Education

Bachelor's degree in CS/Engineering

Tools

Databricks

Airflow

Job description

Saige Partners in Columbus, OH is seeking a Data Engineer to design and optimize scalable data pipelines and platforms powering analytics, ML, and BI. This onsite role offers direct impact across engineering, data science, and business teams.

You will build robust data workflows, ensure data quality, and implement CI/CD and IaC while collaborating with stakeholders to deliver actionable insights for clients.