Python Backend Engineer - Hybrid (Jersey City)

Inadev-Corporatio; Jersey City (NJ); Hybrid; USD 85,000 - 125,000; Full time

Job summary

Inadev Corporation seeks a Mid-Level Python developer to build and maintain enterprise-scale applications across regions. Strong Python expertise and experience with Pandas/NumPy are required for seamless front-end/back-end integration.

The role emphasizes scalable, reusable code, ORM usage (SQLAlchemy), and collaboration across teams to deliver reliable data-driven solutions in a hybrid Jersey City environment.

Qualifications

• Proficient in Python with 3-4 years minimum software development experience.
• Experience writing scalable, reusable code with testing and debugging applications.
• Strong experience with Pandas, NumPy and SQLAlchemy ORM.
• Strong understanding of Object-Oriented Programming and design patterns.
• Experience with Unix/Linux servers and relational databases.

Responsibilities

• Implement, enhance and maintain Python-based batch processing applications.
• Leverage Pandas and NumPy for efficient data manipulation, transformation, and analysis.
• Implement database interactions in applications using SQLAlchemy.
• Contribute to solution design and implementation with a focus on high availability, scalability, maintainability, and reusability.
• Assist across the software development lifecycle, including design, system integration testing and deployments.
• Collaborate with cross-functional teams to translate requirements into scalable technical solutions.

Skills

Python

Pandas

NumPy

SQLAlchemy

Object-Oriented Programming

CI/CD

SQL

Unix/Linux

Team player

Communication

Self-starter

Tools

Git

CI/CD tools

Job description

Inadev Corporation seeks a Mid-Level Python developer to build and maintain enterprise-scale applications across regions. Strong Python expertise and experience with Pandas/NumPy are required for seamless front-end/back-end integration.

The role emphasizes scalable, reusable code, ORM usage (SQLAlchemy), and collaboration across teams to deliver reliable data-driven solutions in a hybrid Jersey City environment.