

KPG99 INC
Senior Market Data Developer (W2 or Own Corp Only)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Market Data Developer in Jersey City, NJ, on a contract basis. Requires 7+ years of experience in relational databases and big data, strong Python and SQL skills, and knowledge of market data across asset classes.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 17, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Jersey City, NJ
-
π§ - Skills detailed
#Schema Design #NumPy #Data Quality #Snowflake #AWS (Amazon Web Services) #Pandas #Data Engineering #Mathematics #SQS (Simple Queue Service) #Data Lineage #Data Modeling #Computer Science #Scala #Databases #Storage #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Python
Role description
Job Title: Senior Market Data Developer
Location: Jersey City, NJ (Hybrid) (Local Only)
Type: Contract (W2 or Own Corp only)
β’ Data Sourcing & Integration
β’ Source EOD market data by region from various front-office marking systems and external providers.
β’ Validate and normalize data across asset classes for pricing and risk consumption.
β’ Data Modeling & Storage
β’ Design and implement data models in Snowflake to persist: End-of-day prices, Volatility surfaces, Credit spread curves, Discount curves and other risk-related market data
β’ Infrastructure Development
β’ Provide solutions to pricing engines to deliver market data by region with high reliability and performance.
β’ Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance.
β’ Implement data quality checks and ensure auditability.
β’ Integrate with AWS SQS messaging for data readiness events.
β’ Collaboration
β’ Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
β’ Work closely with Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.
Essential Experience/ Skills:
β’ 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
β’ Technical
β’ Strong Python (pandas, NumPy, data engineering best practices).
β’ Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
β’ ETL/ELT pipeline development
β’ Domain Knowledge
β’ Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities).
β’ Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
β’ Bachelorβs degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline
Job Title: Senior Market Data Developer
Location: Jersey City, NJ (Hybrid) (Local Only)
Type: Contract (W2 or Own Corp only)
β’ Data Sourcing & Integration
β’ Source EOD market data by region from various front-office marking systems and external providers.
β’ Validate and normalize data across asset classes for pricing and risk consumption.
β’ Data Modeling & Storage
β’ Design and implement data models in Snowflake to persist: End-of-day prices, Volatility surfaces, Credit spread curves, Discount curves and other risk-related market data
β’ Infrastructure Development
β’ Provide solutions to pricing engines to deliver market data by region with high reliability and performance.
β’ Build scalable, cost-efficient Snowflake infrastructure and optimize queries for performance.
β’ Implement data quality checks and ensure auditability.
β’ Integrate with AWS SQS messaging for data readiness events.
β’ Collaboration
β’ Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage.
β’ Work closely with Risk Orchestration team to ensure all market data inputs meet requirements for pricing and risk analytics.
Essential Experience/ Skills:
β’ 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms.
β’ Technical
β’ Strong Python (pandas, NumPy, data engineering best practices).
β’ Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).
β’ ETL/ELT pipeline development
β’ Domain Knowledge
β’ Market data concepts across multiple asset classes (Rates, FX, Credit, Equities, Commodities).
β’ Understanding of EOD pricing and risk inputs for VaR, sensitivities, and stress testing.
β’ Bachelorβs degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline





