Market Data Engineer

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 • 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) • 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