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

Secretaria de Serviços Prefeitura de São Paulo; Reston (VA); Hybride; USD 80 000 - 120 000; Plein temps

Résumé du poste

Unknown organization is seeking a Data Analyst to join a hybrid team in Reston, VA, with a requirement for on-site presence 2–3 days per week. The role focuses on building data pipelines, applying PySpark and Python to analytics, and delivering AI-enabled data products in a cloud environment.

The candidate should have strong communication skills, be able to work independently, and possess hands-on experience with Generative AI, LLMs, and enterprise AI integration.

Qualifications

• Local candidates preferred; expected in Reston Town Center 3 days per week.
• Hands-on Generative AI and LLM expertise including AI agents, Retrieval-Augmented Generation (RAG), Amazon Bedrock, and enterprise AI integration.

Responsabilités

• Design data pipelines and data models for scalable processing of large datasets.
• Develop Python and PySpark solutions for data processing, analytics, automation, and AI-enabled apps.
• Integrate APIs and enterprise systems; build REST API connections and data platform integrations.
• Work with modern cloud-native/serverless architectures on AWS (Lambda, Glue, Step Functions, containers).

Outils

Python

Pyspark

Rest API

AWS

SQL

Description du poste

Data Analyst NO Corp-to-Corp OR IC's OR 3rd Party Hybrid 2-3 days per week onsite
Top 5 Technical Skills

• Python
• Pyspark
• Rest API
• AWS
• 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.