Data Engineer

This role focuses on enabling front-office, advisor, and trading operations through low-latency data pipelines, scalable architectures, and governed data platforms. You will work closely with trading desks, portfolio management, and digital platforms to deliver reliable, compliant, and high-throughput data solutions. Key Responsibilities Trading Data Platform Engineering · Design and build real-time and batch data pipelines supporting trading workflows (orders, executions, positions, market data) · Develop low-latency data processing systems for near real-time decisioning · Build scalable data architectures for high-volume transaction data · Enable event-driven architectures using streaming platforms (Kafka, Kinesis) Wealth Management & Trading Integration · Integrate with trading platforms (OMS/EMS), portfolio systems, and advisor platforms · Support use cases such as: · Trade lifecycle tracking (order * execution * settlement) · Portfolio performance and analytics · Advisor dashboards and client reporting · Ensure data consistency across front-, middle-, and back-office systems Data Engineering & Architecture · Build and manage data lakes / lakehouse architectures (Delta Lake, Iceberg, etc.) · Develop ETL/ELT pipelines using modern frameworks · Design data models optimized for trading and analytics workloads · Implement API-driven data access layers for downstream consumption Performance, Scalability & Reliability · Optimize pipelines for low latency, high throughput, and fault tolerance · Implement data quality, reconciliation, and observability frameworks · Ensure high availability and disaster recovery for critical trading data systems Governance, Risk & Compliance · Implement data governance, lineage, and auditability · Ensure compliance with regulatory requirements (SEC, FINRA, etc.) · Enable data security, entitlements, and access controls · Support trade surveillance and reporting requirements Collaboration & Delivery · Partner with trading desks, product teams, and architects to translate requirements into scalable data solutions · Work closely with AI/analytics teams to enable downstream insights and models · Mentor junior engineers and contribute to data engineering best practices, As a Senior DevOps Engineer, you will play a crucial role in shaping the future of AI systems by designing and maintaining scalable infrastructure solutions. Your expertise will di…

• Just now
• Apply easily, Role Overview As a Machine Vision Engineer, you will leverage advanced computer vision techniques to tackle real-world challenges and enhance intelligent automation systems. This r…
• 1 day ago
• Apply easily

Remote Network Engineer with Programming for Data & AI Systems SaidGig

• San Francisco, CA

• $60.00 per hour This role focuses on the integration of network engineering and programming to enhance data-driven intelligent systems. As a key contributor, you will help structure, label, and op…

• 2 days ago

• Apply easily

· 7-12+ years of experience in data engineering or backend engineering · Strong expertise in: · Python / Scala / Java · SQL and distributed data processing (Spark, Flink, etc.) · Hands-on experience with: · Streaming platforms (Kafka, Kinesis, Pulsar) · Data lake / warehouse technologies (Snowflake, Databricks, Redshift) · Experience building real-time or near real-time data pipelines · Strong understanding of data modeling and large-scale distributed systems Preferred Qualifications · Experience in Wealth Management or Capital Markets trading systems · Familiarity with OMS/EMS platforms (e.g., Charles River Development, Aladdin, FIS) · Knowledge of market data (equities, fixed income, derivatives) and trade lifecycle / post-trade processing · Experience with cloud-native data platforms (AWS, Azure, GCP) · Exposure to real-time analytics and risk systems

• $45.00 per hour