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# Data Engineer

- **Company:** Tech Inc
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $70.0 - $136,256.0
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Data Normalization, Data Warehousing, Database Development, Programming Tools, Python (Programming Language), Standard Sql, GitHub Copilot, Restful APIs, Data Pipelines, Microservices
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=72306357eac13bf4

## About the Role

Must Have:

 * Python
 * SQL
 * Data Engineering
 * Data Aggregation
 * Data Warehouse
 * Market Risk
 * Counterparty Risk
 * Market Counterparty Risk Management

Strongly Preferred:

 * Microservices
 * RESTful APIs
 * Data Ingress / Egress
 * Dremio
 * GenAI-assisted development
 * Claude
 * GitHub Copilot
 * Financial Services / Capital Markets, The role requires strong Python and SQL development experience, along with experience working with data pipelines, data aggregation, data ingress/egress, and data warehouse environments.

The team primarily uses Python, microservices, RESTful APIs, and Dremio for analytical/reporting capabilities. Experience with GenAI-assisted development tools such as Claude or GitHub Copilot is also preferred.

Most Important Screening Requirement

Market Risk / Counterparty Risk experience is a key requirement., Experience as a Data Engineer/Software Engineer with strong Python and SQL skills, experience building data aggregation/data warehouse solutions, REST APIs and microservices, and a background supporting Market Risk or Counterparty Risk systems within financial services/capital markets. Experience with Dremio and AI coding tools such as Claude/Copilot is a plus.

## Description

Seeking a Level 4 Data Engineer to support a Market Counterparty Risk Management (MCR) system. The engineer will work on a data aggregation and data warehouse platform that brings data from multiple source systems into the application, aggregates the data, and provisions it for market risk and counterparty risk calculations.


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