The Full Stack Engineer will design, build, and maintain scalable applications, develop user interfaces, and collaborate with teams on analytics-ready data models.
PLEASE NOTE:
- It is a 100% onsite New York, NY.
- Requires Onsite/InPerson Interview.
Job Description:
We are seeking a skilled and detail-oriented Full Stack
Engineer to join our cross-functional Agile team. In this role, you will be
responsible for designing, building, and maintaining scalable end-to-end
applications, developing responsive user interfaces with React, backend
services in Python, and real-time data pipelines using Kafka. The role requires
strong system design skills and close collaboration across frontend, backend,
and platform teams. You will collaborate closely with backend and frontend
engineers, product managers, and analysts to create analytics-ready data models
that power application features, reporting, and strategic insights. This is an
exciting opportunity for someone who values clean data design, modern tooling,
and working at the intersection of engineering and business.
SKILLS:
- Hands-on experience with Apache Kafka
- Proficiency with SQL and relational
databases
- Familiarity with Git-based version
control workflows
- Event-driven and microservices
architectures
- Asynchronous processing and messaging
patterns
- API design and versioning
- Performance tuning and scalability
- Experience with TypeScript
- Knowledge of Docker and Kubernetes
- Cloud experience (AWS)
- Experience with schema registries and
stream processing (Kafka Streams)
- Familiarity with monitoring tools
(Grafana)
- Exposure to security best practices
(OAuth, JWT)
- Strong communication and collaboration
skills.
Requirements
Education
& Experience:
- +5 Years
React (hooks, component lifecycle, state management).
- +5 Years
Python (FastAPI, Flask, or Django).
- +5 Years
building RESTful APIs.
- Experience
working in Agile/Scrum environments and managing work using Jira.
- Bachelor's
degree in computer science or related field.
- A strong
sense of ownership, documentation habits, and attention to data quality and
performance..
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