Senior Data Engineer AI — AI-Driven Pipelines & APIs

Stellent IT LLC

Charlotte (NC)

Ibrido

USD 120.000 - 180.000

Tempo pieno

12 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Stellent IT LLC in Charlotte, NC, is seeking a Senior Data Engineer to modernize our data infrastructure and pioneer AI-enabled enterprise pipelines. The role focuses on building scalable data pipelines, exposing APIs via FastAPI, and connecting data environments with LLMs through MCP servers.

The position requires 5+ years in data engineering, strong Python/Java skills, Spark and SQL expertise, and onsite work on Tuesdays and Wednesdays in our Charlotte office.

Competenze

  • 5+ years of Data Engineering experience.
  • Strong programming proficiency in Python and/or Java.
  • Deep expertise in big data processing frameworks (Spark) and SQL databases.
  • Proven track record of building APIs (specifically FastAPI or similar modern frameworks).
  • Experience with MCP (Model Context Protocol) or integrating AI/LLMs with backend data systems.
  • Must be able to work onsite in our Charlotte office every Tuesday and Wednesday.

Mansioni

  • Design, build, and optimize scalable data pipelines using Python, Java, advanced SQL, and Apache Spark.
  • Develop high-performance APIs (using FastAPI) to expose complex financial data sets to internal applications.
  • Build and deploy Model Context Protocol (MCP) servers to securely connect our proprietary data environments with Large Language Models (LLMs).
  • Architect data solutions that process massive volumes of structured and unstructured data with high reliability.

Conoscenze

Data engineering experience
Python
Java
Spark
SQL
API design (FastAPI)
AI/LLMs integration
Onsite work

Strumenti

FastAPI

Descrizione del lavoro

Stellent IT LLC in Charlotte, NC, is seeking a Senior Data Engineer to modernize our data infrastructure and pioneer AI-enabled enterprise pipelines. The role focuses on building scalable data pipelines, exposing APIs via FastAPI, and connecting data environments with LLMs through MCP servers.

The position requires 5+ years in data engineering, strong Python/Java skills, Spark and SQL expertise, and onsite work on Tuesdays and Wednesdays in our Charlotte office.

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