Application developer || python developer || Newyork || hybrid

Overview

Hybrid
Depends on Experience
Contract - W2
Able to Provide Sponsorship

Skills

Python
Snowflake
streamlit
application

Job Details

Title Sr App Developer | Python, Snowflake & Streamlit

Location NYC ( Hybrid 3 days onsite)

Skill List:

DWaaS, Python, Snowflake, Streamlit, business intelligence, data analysis, data management, data processing, data science, data warehouse, information technology, mathematics, science & research, software development, statistics, technology, web application, web application

JD:

We are seeking a skilled Open Source Developer with strong expertise in Python, Snowflake, and Streamlit to design, develop, and maintain scalable data-driven applications. The ideal candidate will have a passion for open-source technologies, strong problem-solving skills, and the ability to deliver high-quality solutions that support business intelligence and analytics initiatives.

Key Responsibilities

  • Develop, test, and maintain Python applications with a focus on performance and scalability.
  • Design and optimize SQL queries and data models within Snowflake to ensure efficient data pipelines.
  • Build interactive Streamlit dashboards and data applications for business users and stakeholders.
  • Contribute to and leverage open-source libraries, ensuring code is reusable, modular, and well-documented.
  • Participate in code reviews, maintain version control (Git), and contribute to continuous integration and deployment processes.

Required Qualifications

  • Strong proficiency in Python programming (data manipulation, API integration, and automation).
  • Hands-on experience with Snowflake (SQL, performance tuning, and warehouse management).
  • Proven ability to develop Streamlit dashboards and interactive data applications.
  • Familiarity with data modeling, ETL processes, and cloud-based data solutions (AWS, Google Cloud Platform, or Azure preferred).

Preferred Skills

  • Experience with pandas, and other Python data libraries.
  • Knowledge of Docker or containerization for application deployment.
  • Understanding of data visualization best practices and UI/UX principles for dashboards.
  • Contributions to open-source projects (provide GitHub or portfolio links if available).

Education & Experience

  • Bachelor s or Master s degree in Computer Science, Data Science, or related field (or equivalent hands-on experience).
  • 7 10 years of experience in software development or data engineering roles.
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