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Azure Data Engineer

Sharp DecisionsNC🇺🇸United StatesPosted 2 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
NC, United States
Posted
Yesterday
FastAPISQLAPI GatewayETLAzureDatabricksGitJenkinsPython

Job Description

Charlotte, North Carolina
Long term contract (3rd party not allowed)
Minimum Experience: 7 years


Role Description

We are in the process of leading a Digital Transformation across our Americas Division as we continue to modernize our technology, focus on our data-driven approach, grow, and plan for the future. As a result of this expansion, we are seeking experienced Software Data Engineers based across Charlotte (N.C.), Jersey City (N.J.), and India, with 5+ years of relevant experience to support the design and development of a strategic data platform for our Capital Markets and Securities business.

Role Objectives
  • These roles will be part of the Data Strategy team spanning across the Capital Markets and Securities teams and broker-dealer and swap-dealer entities.
  • These roles will be involved in the active development of the data platform in close coordination with the internal technology and data teams, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
  • The consulting team will need to follow internal development standards to contribute to the overall agenda of the Data Strategy team.
  • The implementation of this strategic platform on Azure Cloud Platform will require solutions and expertise as listed in the qualifications below.
Qualifications and Skills
  • Proven experience as a Data Engineer with experience in Azure Cloud.
  • Experience implementing solutions using:
    • Azure Cloud Services
    • Azure Data Factory
    • Azure Data Lake Storage Gen2
    • Azure Databases
    • Azure Data Fabric
    • API Gateway Management
    • Azure Functions
    • Azure Databricks
  • Strong SQL skills with RDBMS or NoSQL databases.
  • Experience developing APIs using FastAPI or similar frameworks in Python.
  • Familiarity with the DevOps lifecycle, including Git, Jenkins, and related tools.
  • Experience with CI/CD processes.
  • Good understanding of ETL/ELT processes.
  • Experience in the financial services industry, including financial instruments, asset classes, and market data, is a plus.

#LI-SK1

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