We are looking for a contract Backend Engineer to help build and refine analytical, data-driven web applications
and supporting infrastructure for a quantitative trading firm. This role is hands-on and implementation-driven,
working with production microservices, databases, and automated workflows.
Key Responsibilities
Build and upgrade microservices and workflows written in Python/Pandas
Design and maintain RESTful APIs that serve time-series and quantitative data
Integrate with database storage across MongoDB, SQL Server, and PostgreSQL
Reason about business logic as it relates to backend data transformations
Collaborate with front-end developers to design APIs that provide the necessary data to the UI
Make informed decisions about where certain pieces of business logic belong in the stack
Optimize query performance for large datasets and frequent updates
Debug issues related to job dependency management and data integrity
Implement and maintain CI/CD pipelines for backend services
Ensure system reliability through monitoring, logging, and alerting
Key competencies
Required Skills
Strong experience with Python (3.9+) and data manipulation libraries (Pandas, NumPy)
Proficiency building microservices using FastAPI or similar async frameworks
Solid understanding of enterprise-level data architecture and design patterns
Experience with both relational (SQL Server, PostgreSQL) and NoSQL (MongoDB) databases
Positive understanding of SQL Server stored procedures with the ability to alter or create them as
needed
Working knowledge of containers (Docker) and cloud platforms (GCP/Kubernetes)
Experience designing and implementing RESTful APIs collaboratively with UI developers
Strong grasp of software engineering fundamentals including data structures, algorithms, and design
patterns
Knowledge of code performance optimization and memory efficiency
Familiarity with message brokers and event-driven architectures (e.g., Kafka, RabbitMQ, or Pub/Sub)
Experienc