Full Job Description Data Engineer Location:

Charlotte, NC (Hybrid) W2 Only (Local Candidates Only) — No

OPT/CPT/H1

Key Skills 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 Job 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. 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. Ideal Candidate Profile A strong candidate would look like: 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.

Pay:

$70.00 - $136,256.31 per hour

Work Location:

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