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# Data Engineer - Hybrid

- **Company:** Genesis10
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $131,082.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Azure, Extract Transform Load (ETL), Relational Databases, Database Queries, DevOps, Python (Programming Language), SQL Azure, NoSQL, Reference Data, Azure Data Lake, Azure Data Factory, Data Strategy, Git, Fastapi, Pyspark, Api Design, Api Gateway, Serverless Computing, Jenkins, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/55d5683d-df8a-4155-a809-c27ed9ccc1ca

## About the Role

* 10+ years of relevant experience
 * Full stack Python/PySpark developer
 * Proven experience as a Data Engineer with experience in Azure cloud
 * Experience implementing solutions using Azure cloud services: Azure Data Factory, Azure Data Lake Gen 2, Azure Databases, Azure Data Fabric, API Gateway management, and Azure Functions
 * Well versed with Azure Databricks
 * Strong SQL skills with RDBMS or NoSQL databases
 * Experience with developing APIs using FastAPI or similar frameworks in Python
 * Familiarity with the DevOps lifecycle (git, Jenkins, etc.) and CI/CD processes
 * Good understanding of ETL/ELT processes

Desired skills:

 * Experience in financial services industry, financial instruments, asset classes and market data are a plus

## Description

This role is part of a strategic Data Strategy team supporting a large-scale digital transformation. The successful candidate will be involved in the active development of a strategic data platform on the Azure Cloud Platform, beginning with a reference data system for securities and pricing data and expanding to other data domains., * Support the design and development of a strategic data platform

 * Actively develop the data platform in close coordination with the internal team
 * Establish a reference data system for securities and pricing data, and later move to other data domains
 * Follow internal development standards to contribute to the overall agenda of the Data Strategy team


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