Data Engineer - Databricks

Quantum Technologies. LLC; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A dynamic tech firm in New York is looking for a Data Engineer to lead initiatives around data pipelines and integration with financial services. The ideal candidate will have over 10 years of experience, extensive knowledge in managing Azure Databricks, and strong programming skills in Python and SQL. You will also be responsible for ensuring data quality and resolving trading system issues, contributing to key business operations in a fast-paced environment.

Qualifications

• 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.
• Strong programming skills in Python and SQL.

Responsibilities

• Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory.
• Integrate Bloomberg market data feeds into trading or analytics platforms.
• Monitor and resolve data and system issues related to trading applications.

Skills

Python

SQL

Azure Databricks

Azure Data Factory

Bloomberg data feeds

Job description

Overview

• 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 operations, application support, and infrastructure teams to resolve incidents and enhance data workflows.

Qualifications

• 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).

QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract