Full Stack Data Engineer

Description:

🚀 WE’RE HIRING: Full Stack Data Engineer
📍 Location: New York City (NYC)
🏢 Work Mode: Hybrid
🤝 Interview Process: L2 Interview – Onsite
📌 Work Authorization: Candidates must be able to work on W2.
We are looking for a versatile Full Stack Data Engineer to lead the modernization and integration of core platforms. The ideal candidate will have strong experience across full-stack development, data engineering, API development, and backend systems.
Key Responsibilities:
Design, develop, and deploy scalable full-stack web applications.
Own end-to-end development, from database schema design to client-side UI.
Build and optimize high-throughput data pipelines, ETL processes, and analytics solutions.
Develop data engineering solutions using Kafka, Spark, and Python.
Design robust APIs and backend services for seamless system integration.
Integrate modern front-end applications with legacy databases and foundational backend systems.
Maintain CI/CD pipelines and automate deployments using GitHub.
Develop automated test suites and ensure code quality.
Deploy and manage applications in Linux environments.
Utilize Nginx and shell scripting for application performance and operational support.
Required Technical Skills:
Full Stack Development
Data Engineering and ETL Pipelines
Python
Apache Kafka
Apache Spark
API Development and Systems Integration
Database Design and Backend Development
GitHub and CI/CD
Linux, Nginx, and Shell Scripting
Automated Testing