Overview
Hybrid
$1 - $1
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Web Services
Analytical Skill
Analytics
Apache Kafka
Apache Spark
Batch Processing
Capital Market
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Data Architecture
Data Engineering
Data Governance
Data Integrity
Data Management
Data Modeling
Data Storage
Derivatives
Documentation
Equities
Extract
Transform
Load
Finance
Financial Services
Fixed Income
Good Clinical Practice
Google Cloud Platform
Market Analysis
Meta-data Management
Microsoft Azure
Orchestration
Problem Solving
Python
Regulatory Compliance
Regulatory Reporting
SQL
Trading
Job Details
We're seeking a Data Engineer to support data management initiatives. This role involves building robust data pipelines, integrating market and trade data, and ensuring high-quality data delivery for trading, risk, and compliance functions.
Key Responsibilities
- Design and implement scalable data pipelines for market, reference, and transactional data.
- Develop ETL processes to ingest data from trading platforms, market data providers, and internal
- Collaborate with trading desks, risk teams, and compliance to understand data requirements.
- Ensure data integrity, lineage, and governance across systems. Optimize data storage and retrieval for
- real-time and batch processing.
- Support regulatory reporting and analytics through a reliable data infrastructure.
- Maintain documentation and contribute to data architecture decisions.
Required Skills
- Strong proficiency in Python, SQL, and data modeling.
- Experience with capital markets data (e.g., equities, fixed income, derivatives).
- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Knowledge of data governance frameworks and metadata management.
- Experience with Kafka, Spark, Airflow, or similar tools for data orchestration.
Qualifications
- Bachelor's or master s degree in computer science, Finance, or related field.
- 5 to 7 years of experience in data engineering, preferably in financial services.
Soft Skills
- Strong analytical and problem-solving mindset.
- Excellent communication with both technical and non-technical stakeholders.
- Ability to thrive in a fast-paced, high-stakes trading environment.
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.