Software Data Engineers

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
September 7, 2025
πŸ•’ - Project duration
Unknown
-
🏝️ - Location type
Hybrid
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Jersey City, NJ
-
🧠 - 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.