Data Engineer with AI/ML Experience — Experience building MCP tools 15 YEARS

4 views
Skip to first unread message

IT Recruiter Chintu

unread,
Feb 17, 2026, 1:52:32 PM (3 days ago) Feb 17
to resum...@googlegroups.com

Full Stack Developer (Data Engineering & API Development)

📍 Location: Seattle & Plano (Onsite / Onshore)
💰 Rate: $60–$65/hr (C2C)
👥 Positions: 1

Primary Skills (Must Have)

  • Data Engineering: Data pipeline development, ETL processing, and large-scale data systems

  • Experience with Databricks, Snowflake, and Azure services

  • Azure services including:

    • Azure Data Factory (ADF)

    • Azure AI Services

    • Azure Kubernetes Service (AKS)

  • API Development (Mandatory) — REST API design and implementation

  • AI/ML Experience — Experience building MCP tools

  • Full-stack application development

Required Qualifications

  • 7+ years of full-stack development experience with strong backend expertise in Python.

  • 3+ years of hands-on Data Engineering experience (ETL, data pipelines, large-scale data processing).

  • 3+ years of experience designing and developing RESTful APIs (must-have).

  • Strong experience with JavaScript (ES6+), HTML, CSS, and modern front-end frameworks (React, Angular, or Vue).

  • Experience with backend frameworks such as Django, Flask, or Node.js.

  • Expertise in SQL, Snowflake, PostgreSQL, and cloud data platforms (Azure preferred).

  • Experience with containerization (Docker) and CI/CD tools (GitHub Actions, Jenkins, etc.).

  • Understanding of data science and machine learning tools (NumPy, Pandas, SciPy).

  • Strong problem-solving and communication skills.

  • Experience working in Agile/Scrum environments.

Reply all
Reply to author
Forward
0 new messages