Senior Azure Data Engineer: Python, PySpark & Databricks

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

Job summary

Axiom Path is seeking a senior data engineer to join a global financial services project in Charlotte. You will help design and build a cloud-based data platform supporting securities, pricing, and reference data, collaborating with U.S. and offshore teams in a data strategy group.

The role emphasizes Azure-based technology, Python and PySpark development, and modern data workflows. You will contribute to Azure Data Factory/Databricks environments and implement robust ETL/ELT processes across

Qualifications

• 10+ years of software/data engineering experience.
• Proven Azure data platform design and implementation.
• Strong Python and PySpark development.
• Experience with Azure Databricks, Data Factory, and Data Lake Gen2.

Responsibilities

• Design and develop production-grade data engineering solutions for an enterprise data platform.
• Build scalable data pipelines using Python, PySpark, Azure, and Databricks.
• Contribute to centralized reference-data platforms for securities and pricing.
• Develop and integrate APIs using Python frameworks such as FastAPI.
• Implement data workflows using Azure Data Factory, ADLS Gen2, and databases.
• Design ETL/ELT processes for large datasets.
• Apply SQL across relational and NoSQL environments.
• Participate in DevOps lifecycle with Git, CI/CD, and testing.
• Collaborate with distributed US and offshore teams.

Skills

Python

SQL

Data engineering

Communication

Teamwork

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Gen2

PySpark

Git

CI/CD

Jenkins

APIs

Job description

Axiom Path is seeking a senior data engineer to join a global financial services project in Charlotte. You will help design and build a cloud-based data platform supporting securities, pricing, and reference data, collaborating with U.S. and offshore teams in a data strategy group.

The role emphasizes Azure-based technology, Python and PySpark development, and modern data workflows. You will contribute to Azure Data Factory/Databricks environments and implement robust ETL/ELT processes across