Python Developer / Data Engineer

This role sits within a long-established, highly respected organization recognized as a global leader in analytics, ratings, and industry intelligence. The company is known for its stability, strong reputation in the financial services ecosystem, and ongoing investment in modernization and data-driven initiatives.

They are actively expanding their data engineering capabilities to support a mission-critical internal transformation effort tied to enterprise-level programs. This position is an opportunity to work within a high-visibility environment where engineering excellence directly impacts key business outcomes.

This is a full-time, direct-hire position, located on a hybrid basis in Bedminster, NJ, typically requiring onsite presence 1–2 days per week.

The Role You’ll Play

As a Data Engineer (Python Developer), you will design, build, and optimize scalable data solutions supporting a wide range of business needs. You’ll work closely with technical leaders to enhance existing data stores, develop API-driven services, and ensure the reliability, performance, and scalability of enterprise data pipelines.

This role is central to a high-priority internal project, requiring strong Python expertise, proficiency with modern API frameworks, and advanced knowledge of SQL and database concepts. You’ll work within a fast-moving, agile environment where accuracy, ownership, and engineering rigor are essential.

Key Responsibilities

• Support the ongoing build-out and improvement of enterprise data stores (Oracle, CEPH, potentially MongoDB) including data access, persistence, and performance optimization.

• Apply strong knowledge of SQL tuning, indexing, stored procedures, and database internals.

• Develop server-side Python applications leveraging concurrency (asyncio, multiprocessing, threading).

• Utilize Numpy, Pandas, and core Python data structures to handle data transformations and internal computation workloads.

• Develop and maintain APIs using REST, with strong hands-on experience in FastAPI.

• Support communication frameworks including gRPC and socket-based protocols (plus).

• Contribute to CI/CD pipelines using Git, Azure DevOps, Artifactory, and related tools.

• Develop and maintain systems in Red Hat Enterprise Linux (RHEL) environments.

• Collaborate cross-functionally to gather requirements, ensure alignment, and enhance existing data processes.

• Work iteratively within a dynamic environment, balancing quality, urgency, and completion of deliverables.

Background Profile:

The ideal candidate is a strong server-side engineer with deep Python experience, strong SQL/database fundamentals, and proven ability to build API-driven systems in a Linux-based environment. Success requires technical precision, self-management, and the ability to communicate effectively with both technical and non-technical peers.

• 3–7 years of server-side development experience (degree-dependent).

• Strong proficiency in Python, including intermediate-to-advanced concepts (concurrency, memory management, data structures, Numpy/Pandas).

• Proficiency with Oracle PL/SQL, SQL tuning, indexes, views, stored procedures, and database optimization.

• Experience developing REST APIs (FastAPI preferred).

• Experience with Git, CI/CD pipelines, Azure DevOps, Artifactory.

• Strong experience developing on RHEL; Unix shell scripting exposure.

• Ability to work effectively in iterative, agile environments.

• Strong communication and self-management skills.

Preferred / Nice-to-Have

• Experience with gRPC or socket-based communication.

• Experience with CEPH or MongoDB.

• Exposure to additional programming languages (Java, C++, Rust).

• Familiarity with GOF design patterns (Factory, Facade, Singleton, etc.).