Senior Data Software Engineer

EPAM Systems; Argentina; Remote; ARS 900,000 - 1,500,000; Full time

Benefits offered by this job

Healthcare benefits

LinkedIn Learning access

Global career opportunities

Paid time off and sick leave

Job summary

EPAM Systems is seeking a Senior Data Software Engineer in Argentina to design and maintain robust data systems and apply advanced AI concepts. You will work with cross-functional teams, review code, and contribute to architecture discussions while growing your expertise in data-driven solutions.

The role emphasizes scalable data pipelines, collaboration, and continuous learning within a forward-thinking environment, with opportunities for professional growth and global collaboration.

Qualifications

• 3+ years of relevant professional experience.
• Strong knowledge of AI concepts and tools applied to data-focused solutions.
• Proficiency in Python for building data processing apps.
• Experience with streaming data using Kafka Streams and Flink.
• Hands-on AWS cloud experience.

Responsibilities

• Design and build scalable data solutions aligned with business objectives.
• Collaborate with cross-functional teams to ensure timely, quality deliverables.
• Review code and provide constructive feedback to maintain engineering standards.
• Investigate and resolve complex data processing issues across lifecycle stages.
• Mentor junior engineers and share knowledge within the team.
• Participate in planning and provide accurate time estimates.

Skills

AI concepts

Python

SQL

CI/CD

SDLC

Agile

English (B2+)

Tools

Apache Kafka Streams

Apache Flink

AWS

Job description

We are looking for a Senior Data Software Engineer with strong AI knowledge to join our team. This role offers the opportunity to work on impactful, data-driven projects within a collaborative and forward-thinking environment. You'll be part of a team that values technical depth, continuous learning, and the practical application of modern technology. If you're passionate about building robust data systems while deepening your AI expertise, this position offers a strong platform for professional growth.ResponsibilitiesDesign and build scalable, maintainable data solutions that align with business and technical objectivesCollaborate with cross-functional teams to ensure deliverables are completed on time and meet quality standardsContribute to architecture discussions, offering input that helps shape the direction of data-focused projectsReview code produced by fellow engineers, providing constructive feedback to uphold strong engineering practicesInvestigate and resolve complex technical issues that arise throughout the development and data processing lifecycleSupport the growth of junior team members by sharing knowledge that strengthens their technical abilitiesTake part in planning discussions, contributing to scope definition and providing accurate time estimatesStay current with evolving technology trends and apply valuable new approaches to daily workMaintain clear documentation of key technical decisions and data workflows to support long-term system stabilityWork closely with stakeholders to establish clear objectives and ensure completed work aligns with expectationsRequirementsA minimum of 3 years of relevant professional experiencePractical knowledge of AI concepts and tools, applied to strengthen data-driven solution designStrong proficiency in Python for building and maintaining data processing applicationsExperience with Apache Kafka Streams for managing real-time data streaming pipelinesHands-on knowledge of Apache Flink for processing and analyzing large-scale streaming dataPractical experience working within an Amazon Web Services cloud environmentCapable of using SQL to structure, manage, and retrieve data from relational databasesFamiliarity with NoSQL database technologies for handling unstructured or semi-structured dataUnderstanding of CI/CD practices that enable consistent, automated software and data pipeline releasesSolid background in Data Software Engineering, building reliable and scalable data-centric systemsKnowledge of SDLC Methodologies and their implementation to support organized, efficient project executionExperience working within Agile frameworks to support iterative, collaborative developmentFluent English communication skills at a B2 level or higherWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn