Senior ETL Data Engineer

Our client, a leading organization in Process Intelligence solutions, is seeking a dedicated and skilled Senior ETL Data Engineer to join their dynamic team. The ideal candidate will demonstrate strong problem-solving abilities, excellent communication skills, and a proactive mindset.

Responsibilities

• Lead design, development, and implementation of ETL processes and data models to integrate source data into a Process Intelligence platform (e.g., Celonis).
• Participate in analysis sessions and work with data analysts to document data mappings and ETL requirements.
• Build reliable, secure connections to source systems (JDBC, Kafka, APIs) and validate data ingestion.
• Implement and optimize ETL pipelines for performance, scalability, and data integrity.
• Design and implement audits and reconciliation processes to ensure data completeness and correctness from application platforms to the process-mining environment.

Requirements

• Strong proficiency in SQL/PL-SQL, ETL, data modeling, and data integration techniques.
• Experience with building and maintaining ETL pipelines and data ingestion processes.
• Ability to troubleshoot failures and optimize performance of ETL jobs.
• Knowledge of source system connections such as JDBC, Kafka, and APIs.
• Excellent collaboration skills to work effectively with cross-functional teams including business analysts, project managers, and infrastructure teams.

Benefits

• Medical and Prescription Drug Plans (after waiting period)
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

About the role

• Opportunity to work on high-impact data projects supporting Process Intelligence initiatives.
• Engagement with a forward-thinking team dedicated to continuous improvement and automation.
• Immediate start with potential for long-term growth within the organization.
• Supportive work environment that values diversity and inclusion.
• Chance to enhance your skills in a cutting-edge data platform environment.

Location: Columbus, OH