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

Secretaria de Serviços Prefeitura de São Paulo; Reston (VA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Data Analyst in Reston, VA is a hybrid role requiring 2-3 days onsite. The candidate will perform hands-on data processing, analytics, and AI-enabled development using Python, PySpark, REST APIs, and AWS.

Responsibilities include building data pipelines, data models, and scalable processing for large datasets, with strong emphasis on communication and independent work.

Qualifications

• Experience with Python for data processing and analytics.
• Proficiency in SQL for data querying and modelling.
• Familiarity with cloud platforms such as AWS.
• Experience integrating systems via REST APIs.
• Proficiency with PySpark for large-scale data processing.

Responsibilities

• Local candidates preferred, with in-person presence at Reston Town Center 3 days per week.
• Communicate effectively, both written and verbal.
• Work independently and deliver results with minimal supervision.
• Leverage Generative AI and LLMs (RAG, AI agents) for enterprise solutions.
• Design robust data pipelines, data models, and scalable data architectures.
• Develop AI-enabled data products and translating business requirements into technical solutions.
• Integrate apps and data platforms via APIs and enterprise systems.
• Work with modern cloud-native/serverless architectures (AWS Lambda, Glue, Step Functions, containers).

Skills

Python

SQL

AWS

Rest API

Pyspark

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

• 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.