Data Engineer (Columbus)

Job Description Were 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.