Data Engineer

Kaleidoscope Innovation, Inc.; Charlotte (NC); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Kaleidoscope Innovation, Inc. in Charlotte, NC is seeking a Data Engineer to help modernize enterprise data platforms and support cloud migration initiatives.

This hands-on role focuses on designing and building scalable data pipelines and optimizing data workflows as legacy environments move to Google Cloud. You'll collaborate with architects, developers and analysts to deliver reliable data solutions, write optimized SQL, and ensure data quality and performance across systems.

Qualifications

• 5+ years of Data Engineering/ETL experience.
• Hands-on with GCP, BigQuery, Ab Initio, or Teradata.
• Strong SQL development and data warehousing knowledge.
• Experience designing enterprise data pipelines and data quality

Responsibilities

• Design, develop, and maintain enterprise ETL/data integration pipelines.
• Build and optimize data solutions using GCP, BigQuery, Ab Initio, 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

Data engineering

SQL

ETL development

Data modeling

Communication

Tools

GCP

BigQuery

Ab Initio

Teradata

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Charlotte, NC, US

Salary Range: $100,000.00 To $130,000.00 Annually

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 usingGCP, 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 withGCP, 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.