Senior Azure Data Engineer – Capital Markets Data Platform x3

Zohorecruit; Charlotte (NC); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Axiom Path is an AI-first recruiting and staffing firm delivering RPO, MSP, and direct-hire solutions to enterprise clients across the U.S. Our team of experienced recruiters, supported by purpose-built automation, moves faster and communicates better so clients get qualified talent sooner and candidates get a clear, responsive process from first contact to start date.

Charlotte, North Carolina-based data engineer role with a global financial services technology organization advancing a major

Qualifications

• Proven hands-on development with Python and PySpark.
• Design and implement data solutions in Microsoft Azure.
• Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
• Strong knowledge of Azure Databricks and SQL fundamentals.
• Experience with ETL/ELT architectures and CI/CD tooling.
• Git-based development and modern DevOps practices.
• Ability to collaborate with distributed teams and adhere to standards.
• Financial services data experience is a plus.

Responsibilities

• Design, develop, and enhance a strategic Azure-based data platform.
• Build scalable data pipelines and processing using Python, PySpark, and Azure tools.
• Develop reference-data capabilities for securities and pricing datasets.
• Create ETL/ELT solutions to ingest, transform, and distribute data.
• Develop REST APIs using Python frameworks like FastAPI.
• Leverage Azure Functions and Data Lake for cloud-native functionality.
• Apply CI/CD and source-control across the engineering lifecycle.
• Collaborate with global teams to deliver reliable data solutions.

Skills

Python

PySpark

Azure

SQL

ETL/ELT

CI/CD

DevOps practices

REST APIs

Git

Azure Databricks

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Azure Data Factory

Azure Data Lake Storage Gen2

Azure Databricks

Jenkins

Job description

Charlotte, United States | Posted on 09/15/2026

Axiom Path is an AI-first recruiting and staffing firm delivering RPO, MSP, and direct-hire solutions to enterprise clients across the U.S. Our team of experienced recruiters, supported by purpose-built automation, moves faster and communicates better so clients get qualified talent sooner and candidates get a clear, responsive process from first contact to start date.

Job Description

Be Part Of A High-Performing Team

Join a global financial services technology organization advancing a major digital transformation across its capital markets and securities businesses. The Data Strategy team is modernizing how enterprise data is managed, governed, and delivered through a strategic cloud-based data platform. This role will collaborate with engineering teams across the U.S. and India to build scalable data capabilities supporting securities, pricing, reference data, and additional capital markets domains.

What’s In Store For You

• Engagement: W2 only (no C2C/1099)
  
• Hybrid opportunity based in Charlotte, North Carolina.
  
• Work on a long-term strategic data transformation initiative supporting capital markets technology.
  
• Gain exposure to enterprise-scale Azure architecture, modern data engineering, and financial-market datasets.
  
• Collaborate with geographically distributed engineering and business teams.
  

How You Will Make An Impact

• Design, develop, and enhance a strategic enterprise data platform hosted within Microsoft Azure.
  
• Build scalable data pipelines and processing solutions using Python, PySpark, Azure Data Factory, and Databricks.
  
• Support the development of a reference-data platform covering securities and pricing information before expanding into additional data domains.
  
• Develop ETL/ELT solutions that ingest, transform, validate, and distribute complex financial datasets.
  
• Build and integrate REST APIs using Python frameworks such as FastAPI.
  
• Develop cloud-native functionality using Azure Functions, API management capabilities, databases, and Azure Data Lake Storage Gen2.
  
• Apply established development standards, source-control practices, and CI/CD processes across the engineering lifecycle.
  
• Partner closely with technology and data teams across multiple regions to deliver reliable and maintainable data solutions.
  

Requirements

Do You Bring Proven Success in Azure Data Engineering and Python Development?

• Extensive professional data engineering experience, with the role targeting a highly experienced engineer capable of operating independently in an enterprise environment.
  
• Strong hands-on development expertise with Python and PySpark.
  
• Proven experience designing and implementing data solutions in Microsoft Azure.
  
• Hands-on experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  
• Strong working knowledge of Azure Databricks.
  
• Experience with Azure databases, Azure Functions, API management, and modern Microsoft data-platform capabilities.
  
• Advanced SQL skills across relational and/or NoSQL database environments.
  
• Strong understanding of ETL and ELT architecture and processing patterns.
  
• Familiarity with Git-based development, Jenkins or comparable CI/CD tooling, and modern DevOps practices.
  
• Ability to collaborate effectively with distributed technical teams while following enterprise engineering standards.
  
• Financial services experience involving financial instruments, asset classes, securities, pricing, or market data is highly valuable.