Senior Data Software Engineer

EPAM Systems; México; Remote; MXN 900,000 - 1,150,000; Full time

Job summary

EPAM Systems in Mexico is seeking a Senior Data Software Engineer with strong AI knowledge to design and build scalable data solutions and ensure high-quality delivery. You will collaborate with cross-functional teams, participate in architecture discussions, and mentor junior engineers while staying current with AI and streaming technologies.

The role emphasizes practical Python development, real-time data processing with Kafka Streams and Flink, AWS cloud experience, and a solid SDLC/Agile

Qualifications

• Minimum 3 years of relevant professional experience.
• Practical knowledge of AI concepts and tools applied to data-driven solution design.
• Proficient in Python for building data processing applications.
• Experience with real-time streaming: Kafka Streams.
• Hands-on with Apache Flink for large-scale streaming data.
• Experience in AWS cloud environment.
• SQL for relational data management.
• Familiarity with NoSQL databases for unstructured data.
• Understanding of CI/CD practices for automated releases.
• Strong background in Data Software Engineering and scalable data-centric systems.
• Experience with SDLC methodologies and Agile frameworks.

Responsibilities

• Design and build scalable, maintainable data solutions aligned with business objectives.
• Collaborate with cross-functional teams to ensure timely, high-quality deliverables.
• Contribute to architecture discussions and guide data-focused projects.
• Review code to uphold strong engineering practices.
• Investigate and resolve complex technical issues in data processing lifecycles.
• Mentor junior team members and share knowledge.
• Participate in planning discussions with accurate time estimates.
• Stay current with evolving technology trends and apply them where valuable.
• Maintain clear documentation of technical decisions and data workflows.

Skills

Python

AI concepts

Agile

Data software engineering

SDLC

English (B2+)

Tools

Kafka Streams

Apache Flink

AWS

SQL

NoSQL

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 LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.