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# Python GenAI Engineer

- **Company:** EPAM Systems, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Continuous Integration, Data Infrastructure, Distributed Systems, Github, Python (Programming Language), Next.js, SignalR, SQL Stored Procedures, Web Application Frameworks, Web Services, AWS Cdk, Data Processing, .NET Core, Spring Cloud, GitHub Copilot, Snowflake, Generative AI, Infrastructure as Code (IaC), Fastapi, Pandas, Data Lakes, AngularJS, Infrastructure Automation Frameworks, Star Schema, Bicep, Front End Software Development, Streamlit Framework, Terraform, Data Pipelines, Legacy Systems
- **Published:** May 24, 2026
- **Apply:** https://www.dice.com/job-detail/ef12d529-423e-48fc-a1a6-454b48321871

## About the Role

DuckDB Solid understanding of data pipeline design (data lakes, medallion architecture, star schema) Experience with CI/CD tools (e.g., GitHub Actions) Experience with Azure services (Container Apps, Storage, Service Bus, SignalR) Experience with IaC tools (Bicep, Terraform, or AWS CDK) Familiarity with AI-assisted development tools (e.g., GitHub Copilot) Nice to have Experience with Airflow, dbt, Streamlit Distributed systems and async workflows Enterprise messaging patterns Experience with Snowflake (stored procedures, streams, tasks, pipes, time travel) .NET Core experience (legacy systems support) Frontend experience (Angular or Next.js)

## Description

We are looking for a highly skilled Senior Python Engineer to join a fast-paced, innovative team working on modern data platforms and AI-driven solutions. You will play a key role in designing scalable data pipelines, building cloud-native applications, and leveraging GenAI tools to accelerate development. Responsibilities Design and develop scalable web services and background jobs using FastAPI Build and optimize data processing and reporting solutions Develop and maintain robust data pipelines and architectures Work with modern cloud platforms (primarily Azure) to deploy and manage applications Implement CI/CD pipelines and automation processes Apply Infrastructure as Code (IaC) practices for scalable environments Leverage AI-assisted development tools (e.g., Copilot) for spec-driven development Requirements Strong Python experience (5+ years in production) Hands-on experience with web frameworks (FastAPI preferred) Experience with data processing tools: Pandas, Polars, openpyxl


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