We are looking for a Senior Data Software Engineer to build high-performance big-data applications and cloud-native data pipelines while enabling AI-assisted engineering practices. You will partner with cross-functional teams to deliver reliable data and application solutions—apply now to make an impact.

Responsibilities Develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python

Build and optimize cloud-native data pipelines on Azure, including Azure Data Factory ingestion, transformation, and orchestration

Implement robust APIs and microservices that integrate MarTech systems with client-facing platforms

Design event-driven and distributed architectures that improve reliability, maintainability, and scalability

Build and maintain full-stack applications using modern frontend frameworks and backend services

Drive AI-assisted engineering practices including Vibe Coding and generative-AI development accelerators

Collaborate with product, marketing, and data teams to translate business needs into technical solutions

Optimize performance, cost, and operational stability across data processing and application services

Establish engineering standards and review practices to improve code quality and delivery velocity

Support CI/CD pipelines and release processes for full-stack and data workloads Requirements 3+ years of experience in data software engineering using Python and Scala

3+ years of experience with Databricks for large-scale data processing





3+ years of experience with AI-augmented development practices including Anthropic Claude Code and Vibe Coding

Proven team leadership skills in a fast-paced, cross-functional environment

Strong project delivery skills across data and application layers

Advanced system design skills with event-driven architectures and distributed design patterns

Cloud engineering skills with Azure services including Azure Data Factory

Full-stack engineering skills with modern frontend frameworks such as React, Angular, or Vue

Backend development skills using Node.js, Python, or Java

API design skills with RESTful and GraphQL services

CI/CD pipeline skills supporting full-stack deployments

Strong communication skills to align stakeholders and explain technical trade-offs

Upper-Intermediate English level (B2) Nice to have Apache Spark expertise beyond managed Databricks usage

Azure Data Factory advanced patterns for orchestration and monitoring

Java experience for backend services We offer International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

General career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

📌 Senior Data Software Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina