Senior Azure Data Engineer Python, PySpark & Databricks
United States | Oct. 7, 2026
Report as Closed
Company:
Axiom Path
Country: United States
Type: Onsite
Employment: Contract
Description:
Be Part Of A Dynamic Team
Join a global financial services organization investing heavily in modernizing its technology and building a more data-driven operating model. This opportunity sits within a Data Strategy organization supporting capital markets and securities businesses and brings together data engineers across the U.S. and offshore teams. The group is developing a strategic cloud-based data platform designed to provide a scalable foundation for securities, pricing, reference, and additional enterprise data domains.
What s In Store For You
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Engagement:
W2 only (no C2C/1099)
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Hybrid opportunity
based in Charlotte, North Carolina.
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Long-term contract engagement supporting a major enterprise data transformation.
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Opportunity to contribute to a strategic Azure-based platform being built across multiple capital-markets data domains.
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Work alongside experienced data engineering, cloud, and financial technology professionals across geographically distributed teams.
How You Will Make An Impact
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Design and develop production-grade data engineering solutions supporting a strategic enterprise data platform.
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Build scalable data pipelines and processing capabilities using Python, PySpark, Azure, and Databricks.
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Contribute to the development of a centralized reference-data platform supporting securities and pricing information.
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Develop and integrate APIs using Python frameworks such as FastAPI.
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Implement data workflows using Azure Data Factory, Azure Data Lake Storage Gen2, Azure databases, Azure Functions, and related services.
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Design efficient ETL/ELT processes for structured and potentially high-volume financial datasets.
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Apply strong SQL expertise across relational and NoSQL data environments.
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Participate throughout the DevOps lifecycle, including source control, automated deployments, CI/CD, testing, and production implementation.
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Follow enterprise engineering and development standards while collaborating with U.S. and international technology teams.
Requirements
Do You Bring Proven Success in Azure Data Engineering and Python-Based Data Platforms?
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10+ years of relevant software/data engineering experience
, with significant hands-on data engineering responsibilities.
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Proven experience designing and implementing data solutions within
Microsoft Azure
.
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Strong hands-on development skills with
Python and PySpark
.
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Advanced experience with
Azure Databricks
.
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Experience building solutions with
Azure Data Factory
and
Azure Data Lake Storage Gen2
.
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Experience working with Azure databases and cloud-based data architectures.
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Strong
SQL
skills across relational database environments; NoSQL experience is valuable.
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Experience designing or developing REST APIs using
FastAPI or comparable Python frameworks
.
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Familiarity with
Azure Functions
and API management/integration patterns.
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Strong understanding of
ETL and ELT architectures and processes
.
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Experience with modern engineering practices including
Git, Jenkins, CI/CD, and DevOps workflows
.
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Financial services experience is preferred, particularly exposure to securities, financial instruments, asset classes, reference data, pricing data, or market data.
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Strong collaboration and communication skills with the ability to work effectively across distributed technical teams.
Apply here:
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