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.