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Data Analyst - Python, PySpark, AI, LLM, AWS - ZL

SESReston, VA🇺🇸United StatesPosted Oct 15, 2026

Why This Role Stands Out

This hybrid Data Analyst role offers a fantastic opportunity to leverage your expertise in Python, PySpark, AWS, and cutting-edge AI/LLM technologies to drive innovation within a reputable company. You'll thrive here if you're a proactive individual with strong data architecture and integration skills, eager to build impactful AI-enabled products and contribute to a dynamic team. Apply now to advance your career in a role that blends exciting technical challenges with flexibility.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Reston, VA, United States
Posted
1 week ago
SQLAWSGenerative AILLMPythonREST

Job Description

Data Analyst
NO Corp-to-Corp OR IC's OR 3rd Party
Hybrid 2-3 days per week onsite

Top 5 Technical Skills:

  1. Python
  2. Pyspark
  3. Rest API
  4. AWS
  5. SQL

Job Description:

  • Local candidates preferred, with an expectation to be in Reston Town Center 3 per week
  • Excellent communication and written skills
  • Ability to work independently
  • Hands-on Generative AI and LLM expertise, including AI agents, Retrieval-Augmented Generation (RAG), Amazon Bedrock, and enterprise AI integration.
  • Strong data architecture and engineering skills, including designing data pipelines, data models, integrations, and scalable processing of large datasets.
  • Strong Python and PySpark development skills for data processing, analytics, automation, and AI-enabled applications.
  • Experience designing AI-enabled products, translating business and product requirements into practical technical architectures and implementation approaches.
  • Strong API and systems integration experience, including REST APIs and connecting applications, data platforms, AI services, and enterprise systems.
  • Experience with modern cloud-native and serverless architectures, including AWS Lambda, Glue, Step Functions, containers, and event-driven workflows.

Please send resume to:

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