Data Engineer

Job Description

We’re seeking a skilled Data Engineer based in Columbus, OH , to support a high-impact data initiative. The ideal candidate will have hands-on experience with Python, Databricks, SQL , and version control systems , and be comfortable building and maintaining robust, scalable data solutions.

Key Responsibilities

• Design, implement, and optimize data pipelines and workflows within Databricks.
• Develop and maintain data models and SQL queries for efficient ETL processes.
• Partner with cross-functional teams to define data requirements and deliver business-ready solutions.
• Use version control systems to manage code and ensure collaborative development practices.
• Validate and maintain data quality, accuracy, and integrity through testing and monitoring.

Required Skills

• Proficiency in Python for data engineering and automation.
• Strong, practical experience with Databricks and distributed data processing.
• Advanced SQL skills for data manipulation and analysis.
• Experience with Git or similar version control tools.
• Strong analytical mindset and attention to detail.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with enterprise data lake architectures and best practices.
• Excellent communication skills and the ability to work independently or in team environments.