Job Title: Data Engineer (Market Data) Location: Newark, NJ (Hybrid 2 to 3 days onsite per week)
Duration: 12 24 Months Domain Investment Banking Role Summary We are seeking a
Data Engineer with strong expertise in Market Data to support Fixed Income / Asset Management platform. The role focuses on building scalable data pipelines, integrating external market data sources like Bloomberg and Reuters, and ensuring high-quality data for trading, risk, and analytics systems.
You will work closely with portfolio managers, analysts, and technology teams to deliver robust data solutions supporting investment decision-making.
Key Responsibilities Data Engineering & Pipeline Development- Design, build, and maintain scalable data pipelines and ETL processes for market and reference data
- Ingest data from external vendors such as Bloomberg, Refinitiv (Reuters), Aladdin, etc.
- Handle structured and unstructured data (APIs, flat files, streaming feeds)
Market Data Management- Manage security master, pricing, and reference data across asset classes (Fixed Income, Derivatives, etc.)
- Ensure data quality, validation, and reconciliation across multiple data sources
- Monitor and troubleshoot data discrepancies impacting downstream systems
Data Architecture & Modeling- Develop data models, schemas, and data warehouses/lakehouses
- Optimize data storage and retrieval for performance and scalability
- Implement data lineage, cataloging, and governance frameworks
Collaboration & Business Alignment- Work with trading desks, risk teams, and portfolio managers to understand data needs
- Support analytics, reporting, and regulatory requirements
- Partner with cross-functional teams in Agile environments
Required Skills & Experience Core Technical Skills- Strong experience in Python / Java / Scala
- Advanced SQL and database design skills
- Hands-on experience with:
- Data Warehousing / Data Lakes
- ETL tools & frameworks
- APIs & data ingestion pipelines
Market Data Expertise (MUST HAVE)- Strong experience with:
- Bloomberg (B-Pipe, APIs, Terminal)
- Reuters / Refinitiv Eikon / Elektron
- Deep understanding of:
- Fixed Income instruments (Bonds, MBS, ABS, Derivatives)
- Pricing, yields, curves, and market conventions
Big Data & Cloud (Preferred)- Apache Spark / Kafka
- AWS / Azure / GCP
- Data Lake / Lakehouse architectures
Other Requirements- Strong problem-solving and analytical skills
- Experience working in Investment Management / Capital Markets domain
- Excellent communication and stakeholder management
Nice to Have- Experience with Aladdin or similar OMS platforms
- Knowledge of data governance tools (e.g., Purview)
- Exposure to DevOps / CI-CD pipelines
Education- Bachelor's or Master's degree in Computer Science, Finance, Engineering, or related field