Data Analyst (Gen AI)
technology venturesReston (VA)
About the role
Local candidates preferred, with an expectation to be in RTC 3-5 days per week 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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this