Data Engineer — Build Scalable Data Pipelines in Columbus

Quartz Valley; Columbus (OH); On-site; USD 120,000 - 171,000; Full time

Job summary

Quartz Valley in Columbus, OH is seeking a Data Engineer to design, develop, and maintain data pipelines and infrastructure.

You will work with data scientists and analysts to ensure data quality, optimize processing, and deliver scalable solutions in a collaborative, learning-focused environment.

Requirements include a bachelor's degree in Computer Science, Data Engineering, or a related field, several years of experience, strong SQL and Python skills, and experience with data warehousing tools.

Qualifications

• Bachelor's degree in a relevant field.
• Several years of experience in data engineering or a similar role.
• Proficiency with SQL, Python, and data warehousing tools.
• Strong problem-solving and communication skills.

Responsibilities

• Design and implement data pipelines and data infrastructure.
• Ensure data quality and data integrity across systems.
• Optimize data processing workflows for performance and scalability.
• Collaborate with data scientists and analysts to deploy data-driven solutions.
• Troubleshoot data-related issues and improve reliability.

Skills

Data pipeline design

Problem solving

Communication

Education

Bachelor's degree in Computer Science / Data Engineering / related field

Tools

SQL

Python

Data warehousing tools

Job description

Quartz Valley in Columbus, OH is seeking a Data Engineer to design, develop, and maintain data pipelines and infrastructure.

You will work with data scientists and analysts to ensure data quality, optimize processing, and deliver scalable solutions in a collaborative, learning-focused environment.

Requirements include a bachelor's degree in Computer Science, Data Engineering, or a related field, several years of experience, strong SQL and Python skills, and experience with data warehousing tools.