We are looking for a Senior Data Software Engineer to build high-performance big-data applications and cloud-native data pipelines while shaping AI-assisted engineering practices. You will collaborate across product, marketing, and data teams to deliver reliable APIs and scalable systems—apply now.

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

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

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

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

Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems

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

Collaborate with product, marketing, and data teams to translate business needs into technical solutions Requirements 3+ years of experience in big-data engineering with Databricks, Python, and Scala

3+ years of experience building Spark workloads with Spark SQL and Spark Streaming

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

Strong project ownership skills to translate business needs into technical solutions





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

Cloud engineering experience with Microsoft Azure services including Azure Data Factory

Full-stack development experience with modern frontend frameworks such as React, Angular, or Vue

Backend engineering experience with Node.js, Python, or Java services

API design expertise with RESTful and GraphQL interfaces

CI/CD pipeline experience supporting full-stack deployments

Experience with AI-augmented development practices such as Vibe Coding or comparable frameworks

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

English proficiency at B2 Upper-Intermediate level Nice to have Apache Spark expertise beyond core workloads

Azure Data Factory advanced orchestration and monitoring skills

Java backend development experience

JavaScript framework depth in React, Angular, or Vue We offer International projects with top brands

Work with general 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

Global 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