Data Engineer
Charlotte, NC, United States • Posted May 25, 2026
Job Type:
Full-time
Location:
Charlotte, NC
Posted:
May 25, 2026
Category:
other-general
Application Deadline:
June 01, 2026
Role Description
Description
We are proactively seeking experienced Data Engineers for upcoming contract and contract-to-hire opportunities with our clients across a variety of industries. These roles offer the opportunity to work on modern cloud data platforms, enterprise analytics initiatives, and large-scale data transformation projects.
The ideal candidate has strong experience building scalable data pipelines, supporting enterprise reporting and analytics environments, and working closely with BI, analytics, and engineering teams to deliver reliable, business-critical data solutions.
Responsibilities
+ Design, build, and maintain scalable ETL/ELT pipelines and data integration processes
+ Develop and optimize cloud-based data solutions within Azure, AWS, or GCP environments
+ Support enterprise BI and analytics initiatives by delivering clean, reliable, analytics-ready datasets
+ Work with large datasets across data warehouses, data lakes, ...
We are proactively seeking experienced Data Engineers for upcoming contract and contract-to-hire opportunities with our clients across a variety of industries. These roles offer the opportunity to work on modern cloud data platforms, enterprise analytics initiatives, and large-scale data transformation projects.
The ideal candidate has strong experience building scalable data pipelines, supporting enterprise reporting and analytics environments, and working closely with BI, analytics, and engineering teams to deliver reliable, business-critical data solutions.
Responsibilities
+ Design, build, and maintain scalable ETL/ELT pipelines and data integration processes
+ Develop and optimize cloud-based data solutions within Azure, AWS, or GCP environments
+ Support enterprise BI and analytics initiatives by delivering clean, reliable, analytics-ready datasets
+ Work with large datasets across data warehouses, data lakes, ...
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