Cloud Data Engineer - Enterprise Pipelines & Modernization

Kaleidoscope Innovation

Charlotte (NC)

Hybrid

USD 120,000 - 150,000

Full time

3 days ago
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Job summary

Kaleidoscope Innovation is seeking a Data Engineer to join a team modernizing enterprise data platforms and supporting cloud migration initiatives. You’ll design scalable data pipelines, optimize workflows, and help transition legacy environments to Google Cloud.

The role involves hands-on development with GCP, BigQuery, Ab Initio, and Teradata, plus strong SQL and data modeling work in a hybrid Charlotte environment.

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.

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.

Skills

ETL development
Data engineering
SQL development
Data warehousing concepts

Tools

GCP
BigQuery
Ab Initio
Teradata

Job description

Kaleidoscope Innovation is seeking a Data Engineer to join a team modernizing enterprise data platforms and supporting cloud migration initiatives. You’ll design scalable data pipelines, optimize workflows, and help transition legacy environments to Google Cloud.

The role involves hands-on development with GCP, BigQuery, Ab Initio, and Teradata, plus strong SQL and data modeling work in a hybrid Charlotte environment.

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