Lead Data Engineer Python, React, AWS, GenAI

Overview

On Site
Up to $100,000
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Able to Provide Sponsorship

Skills

Python
React
AWS
GenAI
AWS Cloud Services
including IAM
S3
Lambda

Job Details

Job Title: Lead Data Engineer – Python, AWS, GenAI, FastAPI
Location: Raleigh, NC (Onsite Only)
Type: Full-Time / W2

 

About the Role:

We are hiring a Lead Data Engineer with a strong foundation in Python, AWS, FastAPI, and Generative AI (GenAI) technologies. This is an onsite, client-facing role based in Raleigh, NC, offering the opportunity to work on cutting-edge AI-driven platforms and cloud-native architectures.

This position is ideal for a highly skilled technologist who can lead the development of scalable microservices, make architecture-level decisions, and drive innovation using GenAI frameworks and best practices.

 

Must-Have Technical Skills:

  • AWS Cloud Services, including IAM, S3, Lambda, etc.
  • Amazon EKS (Elastic Kubernetes Service)
  • AWS Bedrock for GenAI integration
  • Python (Advanced scripting and backend development)
  • FastAPI (Design and deployment of RESTful services)
  • LangChain / LangGraph for LLM integration
  • OIDC / SAML – Authentication and Single Sign-On (SSO) protocols

 

Nice-to-Have Technical Skills:

  • Databricks (Notebooks, Model Serving, Unity Catalog, Delta Tables)
  • MLflow (Model lifecycle management)
  • Apache Spark (Data processing)
  • Databricks SQL

 

Core Concepts – Required:

  • Microservices Architecture & Design
  • API Design and Best Practices
  • Authentication, Authorization, and IAM
  • Prompt Engineering for LLMs / GenAI workflows
  • Database Technologies:
    • Relational (RDBMS)
    • NoSQL (Document, Key-Value stores)
  • Kubernetes (K8s) – Deployment and orchestration
  • Strong decision-making ability on tech stack selection and architectural trade-offs

 

Nice-to-Have Concepts & Domain Exposure:

  • Prompt Management & Optimization
  • Machine-Communication Protocols (MCP), A2A (Application-to-Application) Protocols

 

Responsibilities:

  • Lead end-to-end design and implementation of data services and AI integrations
  • Architect and deploy scalable microservices using FastAPI and Python
  • Build and optimize GenAI-powered applications using LangChain, Bedrock, etc.
  • Manage authentication and authorization workflows using OIDC/SAML
  • Work closely with business stakeholders to gather requirements and deliver impactful solutions
  • Own deployment pipelines and infrastructure management on AWS + EKS
  • Contribute to architecture reviews, tech evaluations, and GenAI Proof of Concepts (POCs)

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Bossini Technologies