We are hiring a Senior Data Software Engineer to deliver resilient data platforms while applying practical AI across data-driven solutions. You will build and evolve streaming pipelines with Python, Apache Kafka Streams, and Apache Flink on Amazon Web Services, partnering closely with teams and stakeholders.
ResponsibilitiesDesign and build scalable, maintainable data solutions aligned with business and technical goalsCollaborate with cross-functional teams to deliver on time and meet agreed quality standardsContribute to architecture discussions and help steer data-focused project directionReview peer code and provide actionable feedback that reinforces strong engineering practicesInvestigate and resolve complex technical issues across development and data processing lifecyclesSupport junior team members by sharing knowledge that strengthens their technical skillsParticipate in planning sessions by shaping scope and providing accurate time estimatesStay current with technology trends and apply useful approaches in day-to-day workMaintain clear documentation of key technical decisions and data workflows for long-term stabilityWork with stakeholders to define clear objectives and ensure outcomes match expectationsRequirementsMinimum 3 years of relevant professional experiencePractical knowledge of AI concepts and tools applied to improve data-driven solution designStrong proficiency in Python for developing and maintaining data processing applicationsHands-on experience with Apache Kafka Streams to run real-time data streaming pipelinesWorking knowledge of Apache Flink for large-scale streaming data processing and analysisPractical experience operating in an Amazon Web Services cloud environmentAbility to use SQL to model, manage, and query relational databasesFamiliarity with NoSQL database technologies for unstructured or semi-structured dataUnderstanding of CI/CD practices that support consistent, automated releases for software and data pipelinesSolid background in Data Software Engineering with a focus on reliable, scalable data-centric systemsKnowledge of SDLC Methodologies and how to implement them for structured, efficient deliveryExperience working within Agile frameworks for iterative, collaborative developmentFluent English communication skills at a B2 (Upper-Intermediate) level or higherWe offerInternational projects with top brandsWork with general 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

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