Trade Surveillance Data Engineer needed to support large-scale financial trading data systems . Role involves building SQL/ETL pipelines, integrating trade surveillance platforms (Actimize or similar), and optimizing large relational databases. Must have strong experience in Python or Java and a solid understanding of trading/order lifecycle data.
Job Title
Trade Surveillance Data Engineer (SQL/ETL/Python – Remote)
100% Remote
Position Overview
We are seeking an experienced Database/Data Engineer with strong experience in trade surveillance systems, market/trading data flows, database engineering, and ETL pipelines. The engineer will support data integration, processing, and optimization for surveillance platforms such as Actimize, Trading Hub, or Nasdaq Smarts.
Responsibilities
- Design and build large-scale relational databases for capital markets data.
- Develop ETL pipelines to process trade, order, and market data into enterprise systems.
- Integrate with surveillance platforms (Actimize preferred).
- Work with trading data from order inception → execution → clearing.
- Build scripts and data services using Python or Java.
- Optimize SQL queries, schemas, indexing, and warehouse performance.
- Ensure data quality, validation, reconciliation, and audit completeness.
- Implement database security, access controls, and performance tuning.
Required Skills
- 7–12 years in Database or Data Engineering
- Strong SQL & RDBMS experience (performance tuning, modeling, schema design)
- Experience in trade surveillance systems (Actimize strongly preferred)
- Solid understanding of trading/order lifecycle data
- ETL development experience (Informatica, custom pipelines, Python, etc.)
- Python or Java programming for data workflows
- Experience building data pipelines in financial trading environments
Nice to Have
- Experience with compliance monitoring, regulatory reporting, AML, or market surveillance
- Experience with cloud data warehousing
- Capital markets or brokerage background
Job Type: Contract
Pay: $49.31 - $70.38 per hour
Expected hours: 40 per week
Experience:
- trade surveillance platforms : 2 years (Required)
- ETL pipelines for trading or market data: 2 years (Required)
- order lifecycle or market/trading data: 1 year (Required)
Work Location: Remote
