We are expanding with a Senior Data Software Engineer who can build scalable data platforms and apply AI tools to strengthen data-driven solution choices.

In this role, you will develop Python data processing services and real-time streaming with Apache Kafka Streams and Apache Flink on Amazon Web Services, while supporting Agile and CI/CD delivery.

Responsibilities

Design and build maintainable data solutions that satisfy business and technical objectives

Collaborate with cross-functional teams to ensure timely delivery and high-quality outcomes

Provide input in architecture discussions to guide data-focused project direction

Review teammates’ code and offer constructive feedback to reinforce good engineering practice

Diagnose and resolve complex technical problems across the development and data processing lifecycle

Support junior engineers’ growth by sharing knowledge and strengthening their technical abilities

Join planning conversations to help define scope and deliver accurate time estimates

Stay up to date on technology trends and apply valuable approaches in daily work

Maintain clear documentation of technical decisions and data workflows to preserve stability

Work closely with stakeholders to align on objectives and ensure results match expectations

RequirementsA minimum of 3 years of relevant professional experience

Practical knowledge of AI concepts and tools leveraged to improve data-driven solution design





Strong proficiency in Python for building and maintaining data processing applications

Experience with Apache Kafka Streams for managing real-time data streaming pipelines

Hands-on knowledge of Apache Flink for processing and analyzing large-scale streaming data

Practical experience within an Amazon Web Services cloud environment

Capability to use SQL to organize, manage, and retrieve data from relational databases

Familiarity with NoSQL database technologies for unstructured or semi-structured data handling

Understanding of CI/CD practices for consistent, automated software and data pipeline releases

Solid background in Data Software Engineering building reliable and scalable data-centric systems

Knowledge of SDLC Methodologies and their implementation to support efficient execution

Experience working in Agile frameworks to enable iterative, collaborative development

Fluent English communication skills at a B2 (Upper-Intermediate) level or higher

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 Linked

In Learning library and 22,000+ courses

Integral career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

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