Data Engineer

Location: Charlotte, NC (Hybrid)

Schedule: Full-Time | Hybrid (3 days onsite)

Interview Process: In-Person Interview Required

About The Role

We are seeking a Data Engineer to join a team focused on modernizing enterprise data platforms and supporting cloud migration initiatives. This is a hands-on role where you'll design and build scalable data pipelines, optimize data workflows, and help transition legacy data environments to Google Cloud.

Responsibilities

• Design, develop, and maintain enterprise ETL/data integration pipelines.
• Build and optimize data solutions using GCP, BigQuery, Ab Initio, and Teradata.
• Support migration of legacy data platforms to Google Cloud.
• Develop and optimize SQL queries, data models, and data warehouse solutions.
• Ensure data quality, performance, and reliability across enterprise systems.
• Collaborate with architects, developers, analysts, and business stakeholders to deliver scalable data solutions.
• Troubleshoot and resolve data integration and performance issues.
  
  

Qualifications

• 5 years of experience in Data Engineering, ETL Development, or Data Integration.
• Hands-on experience with GCP, BigQuery, Ab Initio, and/or Teradata.
• Strong SQL development and query optimization skills.
• Experience building and maintaining enterprise data pipelines.
• Understanding of data warehousing concepts and ETL best practices.
• Excellent communication and problem-solving skills.
  
  

Preferred Qualifications

• Experience supporting cloud migration initiatives.
• Background working in large enterprise or regulated environments.
• Familiarity with Agile development methodologies.
  
  

If you're passionate about building scalable data solutions and working on enterprise cloud modernization initiatives, we'd love to connect.