Data Engineer / Support Analyst Trading Systems

Overview

Hybrid
$60 - $70
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Unable to Provide Sponsorship

Skills

Trading
Bloomberg
Databricks
Python
Support

Job Details

Job Title: Data Engineer / Support Analyst Trading Systems
Location: Hamilton Township, NJ
Employment Type: Contract

Job Summary:

We are seeking an experienced Data Engineer / Support Analyst with strong expertise in Databricks, Azure cloud services, Bloomberg terminal and BBG data integration, and batch job support. The ideal candidate will have a background in financial markets or trading systems, with hands-on experience managing data pipelines, FTP file transfers, and real-time/batch processing in a production environment.

Key Responsibilities:

  • Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory.

  • Integrate and process Bloomberg market data feeds and files into trading or analytics platforms.

  • Monitor, troubleshoot, and resolve data and system issues related to trading applications and market data ingestion.

  • Develop, automate, and optimize ETL pipelines using Python, Spark, and SQL.

  • Manage FTP/SFTP file transfers between internal systems and external vendors.

  • Ensure data quality, completeness, and timeliness for downstream trading and reporting systems.

  • Collaborate with trading desks, application support, and infrastructure teams to resolve incidents and enhance data workflows.

  • Provide L2/L3 production support for critical trading and market data systems.

Required Skills & Experience:

  • 10+ years of experience in data engineering or production support within financial services or trading environments.

  • Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric.

  • Strong Python and SQL programming skills.

  • Experience with Bloomberg data feeds (BPIPE, TSIP,SFTP, B-Quant).

  • Experience with Git, CI/CD pipelines, and Azure DevOps.

  • Proven ability to support batch jobs, troubleshoot failures, and manage job scheduling.

  • Experience handling FTP/SFTP file transfers and automation (e.g., using scripts or managed file transfer tools).

  • Solid understanding of market data concepts, trading workflows, and financial instruments.

  • Excellent communication, problem-solving, and stakeholder management skills.

Nice to Have:

  • Experience with Power BI or other visualization tools.

  • Familiarity with Kafka, Event Hubs, or real-time streaming architectures.

  • Knowledge of ITIL / incident management best practices.

  • Knowledge of building AI Agents and LLMs

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.