Location: Charlotte, NC (Hybrid)
Schedule: Full-Time | Hybrid (3 days onsite)
Interview Process: In-Person Interview Required
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.
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Design, develop, and maintain enterprise ETL/data integration pipelines.
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Build and optimize data solutions using GCP, BigQuery, Ab Initio, and Teradata.
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Support migration of legacy data platforms to Google Cloud.
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Develop and optimize SQL queries, data models, and data warehouse solutions.
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Ensure data quality, performance, and reliability across enterprise systems.
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Collaborate with architects, developers, analysts, and business stakeholders to deliver scalable data solutions.
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Troubleshoot and resolve data integration and performance issues.
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5+ years of experience in Data Engineering, ETL Development, or Data Integration.
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Hands-on experience with GCP, BigQuery, Ab Initio, and/or Teradata.
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Strong SQL development and query optimization skills.
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Experience building and maintaining enterprise data pipelines.
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Understanding of data warehousing concepts and ETL best practices.
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Excellent communication and problem-solving skills.
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Experience supporting cloud migration initiatives.
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Background working in large enterprise or regulated environments.
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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.
