

Software Data Engineers
β - Featured Role | Apply direct with Data Freelance Hub
This role is for Software Data Engineers with 10+ years of experience in Python and Azure, focusing on a strategic data platform for Capital Markets. Contract length is unspecified, pay rate is W2 only, and work is hybrid onsite in Jersey City.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 7, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Jersey City, NJ
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π§ - Skills detailed
#Jenkins #API (Application Programming Interface) #RDBMS (Relational Database Management System) #PySpark #FastAPI #Azure Data Factory #GIT #SQL (Structured Query Language) #Databricks #ADF (Azure Data Factory) #"ETL (Extract #Transform #Load)" #Strategy #Cloud #Azure Databricks #Databases #Consulting #Data Engineering #Spark (Apache Spark) #Azure cloud #DevOps #Azure #NoSQL #Python #Data Strategy
Role description
DATA ENGINEERS (Python, Azure)
CONTRACT
HYBRID ONSITE - JERSEY CITY
W2 ONLY
Role Description
Our client is in the process of leading a Digital Transformation across their Americas Division as they continue to modernize their technology, focus on their data-driven approach, grow, and plan for the future. As a result of this expansion, we are seeking experienced software Data engineers spread across Charlotte (N.C), Jersey City (N.J) and India, with 10+ years of relevant experience to support the design and development of a strategic data platform for our client's Capital Markets and Securities Group operations.
Role Objectives
β’ These roles will be part of the Data Strategy team spanning across the Capital Markets and Securities teams, our client's Americas Division's broker-dealer and swap-dealer entities.
β’ These roles will be involved in the active development of the data platform in close coordination with the client team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
β’ The consulting team will need to follow internal development standards to contribute to the overall agenda of the Data Strategy team.
β’ The implementation of this strategic platform on our client's Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.
Qualifications And Skills
β’ 10+ years of experience in software development using Python, PySpark and its frameworks.
β’ Proven experience as a Data Engineer with experience in Azure cloud.
β’ Experience implementing solutions using -
β’ Azure cloud services
β’ Azure Data Factory
β’ Azure Lake Gen 2
β’ Azure Databases
β’ Azure Data Fabric
β’ API Gateway management
β’ Azure Functions
β’ Well versed with Azure Databricks
β’ Strong SQL skills with RDBMS or noSQL databases
β’ Experience with developing APIs using FastAPI or similar frameworks in Python
β’ Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
β’ Good understanding of ETL/ELT processes
β’ Experience in financial services industry, financial instruments, asset classes and market data are a plus.
DATA ENGINEERS (Python, Azure)
CONTRACT
HYBRID ONSITE - JERSEY CITY
W2 ONLY
Role Description
Our client is in the process of leading a Digital Transformation across their Americas Division as they continue to modernize their technology, focus on their data-driven approach, grow, and plan for the future. As a result of this expansion, we are seeking experienced software Data engineers spread across Charlotte (N.C), Jersey City (N.J) and India, with 10+ years of relevant experience to support the design and development of a strategic data platform for our client's Capital Markets and Securities Group operations.
Role Objectives
β’ These roles will be part of the Data Strategy team spanning across the Capital Markets and Securities teams, our client's Americas Division's broker-dealer and swap-dealer entities.
β’ These roles will be involved in the active development of the data platform in close coordination with the client team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
β’ The consulting team will need to follow internal development standards to contribute to the overall agenda of the Data Strategy team.
β’ The implementation of this strategic platform on our client's Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.
Qualifications And Skills
β’ 10+ years of experience in software development using Python, PySpark and its frameworks.
β’ Proven experience as a Data Engineer with experience in Azure cloud.
β’ Experience implementing solutions using -
β’ Azure cloud services
β’ Azure Data Factory
β’ Azure Lake Gen 2
β’ Azure Databases
β’ Azure Data Fabric
β’ API Gateway management
β’ Azure Functions
β’ Well versed with Azure Databricks
β’ Strong SQL skills with RDBMS or noSQL databases
β’ Experience with developing APIs using FastAPI or similar frameworks in Python
β’ Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
β’ Good understanding of ETL/ELT processes
β’ Experience in financial services industry, financial instruments, asset classes and market data are a plus.