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Experis

Senior SQL Server/Python Data Engineer – Capital Markets

Charlotte, NC $80 - $85/hr Contract Posted 8d ago

Job Description

Senior SQL Server/Python Data Engineer contract opportunity in Charlotte, NC (Uptown) with in-office presence three days a week. Join Experis to support Data Modernization and Investment Banking Technology teams, helping enhance risk and capital management products used in capital markets.

Why this role

  • Work on impactful capital markets and risk management initiatives while improving product usability and integration.
  • Collaborate in a team environment that encourages innovation and continuous learning.
  • Engage with advanced technologies, including GenAI and Agentic AI (desired, not mandatory).
  • Benefit from competitive pay at $80 to $85 per hour.
  • Contract may extend up to 24 months, offering stability and room to grow.

Responsibilities

  • Analyze and interpret Data Modernization strategies across multiple disciplines to deliver innovative data solutions.
  • Formalize business requirements and convert them into detailed technical specifications.
  • Participate in Agile workstreams, using Jira to support smooth project execution.
  • Create scalable capacity from an Agile perspective, improving workflows and processes.
  • Develop and support risk management products within the current technology stack to improve usability and integration.

Requirements

  • SQL Server expertise, including strong understanding of relational databases and data modeling.
  • Proficiency in Python, including data engineering libraries such as Pandas, Polar, and Torch.
  • Experience building distributed applications and working with micro-service architectures.
  • Familiarity with DevOps tooling such as Git, Jenkins, and automation deployment toolkits.
  • Hands-on experience developing RESTful APIs within an Agile development environment.

Location: Charlotte, NC (Uptown) with in-office presence required three days per week
Compensation: $80 to $85 per hour
Job type: Contract

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