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Data Engineer (Charlotte)
Data Engineer (Charlotte)Cliff Services Inc • Charlotte, NC, US
Data Engineer (Charlotte)

Data Engineer (Charlotte)

Cliff Services Inc • Charlotte, NC, US
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  • [job_card.part_time]
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Job Title : Data Engineer / SQL Server Developer (7+ Years)

Client : Wells Fargo

Location : Charlotte, NC (Onsite)

Rate : $60 / hr

Interview Process : Code Test + In-Person Interview

Job Description

Wells Fargo is seeking a Senior Data Engineer / SQL Server Developer (7+ years) who can work across both database development and QA automation functions. The ideal candidate will have strong SQL Server expertise along with hands-on experience in test automation tools.

Key Responsibilities

  • Design, develop, and optimize SQL Server database structures, queries, stored procedures, triggers, and ETL workflows.
  • Perform advanced performance tuning, query optimization, and troubleshooting of complex SQL issues.
  • Develop and maintain data pipelines ensuring data reliability, integrity, and high performance.
  • Build and execute automated test scripts using Selenium , BlazeMeter , or similar frameworks.
  • Perform both functional and performance testing across applications and data processes.
  • Support deployments in containerized ecosystems, ideally within OpenShift .
  • Collaborate with architecture, QA, DevOps, and application teams to ensure seamless delivery.

Required Skills

Primary :

  • 7+ years of hands-on SQL Server development (T-SQL, stored procedures, performance tuning, ETL).
  • Secondary :

  • Experience working with OpenShift or other container platforms.
  • Testing / QA Automation :

  • Strong experience with test automation tools like Selenium , BlazeMeter , JMeter, or equivalent.
  • Ability to design automated functional and performance test suites.
  • Ideal Candidate Profile

  • Senior-level developer capable of taking ownership of both development and test automation deliverables.
  • Strong analytical and debugging skills across data engineering and testing disciplines.
  • Experience working in large-scale enterprise environments.
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