Data Engineer
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: In person