Data Engineer

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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.

• 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.

• 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.

• 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.

Mid‑Senior level

Full‑time

Information Technology

IT Services and IT Consulting

• Vision insurance
• Medical insurance
• 401(k)

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