[Remote] Data Software Engineer

Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a highly skilled and experienced Data Software Engineer to assist in creating data-centric applications. The role involves leveraging advanced Big Data tools and cloud technologies while collaborating with various teams to deliver innovative solutions for complex business challenges.ResponsibilitiesBuild and improve data software applications used by Data Integration EngineersDevelop and release advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data toolsImplement cloud-based capabilities on AWS to streamline and optimize data workflowsCollaborate with product and engineering teams to gather input and support data-informed decisionsAlign with architects, technical leads, and partner teams to deliver consistent end-to-end solutionsEvaluate business requirements and technical landscapes to propose appropriate technical implementationsPerform code reviews to reinforce best practices and maintain high code qualityTest and validate solutions against functional, technical, and performance expectationsDocument deliverables thoroughly to support future maintenance and enhancementsEngage with clients to capture requirements and provide expert technical guidanceSkillsBachelor's or Master's degree in Computer Science, Software Engineering, or a related disciplineRelevant experience in Data Software Engineering with 2+ years working with Big Data technologiesSolid understanding of data engineering fundamentals such as data management, storage, visualization, operations, and securityDeep knowledge of data ingestion pipelines, Data Warehousing, and Data LakesHands-on programming skills in Python, Java, Scala, or KotlinProven ability with SQL and NoSQL databasesPractical expertise in Big Data tooling, especially Spark and PySparkExperience designing and deploying solutions on AWS, including Glue and RedShiftWorking knowledge of CI/CD pipelines and deployment workflowsFamiliarity with containerization and tools such as Docker, Kubernetes, and YarnExperience using Databricks for advanced data analytics and engineeringEnglish proficiency at B2 (Upper-Intermediate) level or higher, written and spokenExposure to additional Big Data tools such as Hadoop, Hive, and FlinkKnowledge of SDLC methodologies with an emphasis on Agile practicesAbility to implement and manage SDLC processes effectivelyBenefitsInternational 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 LinkedInCompany OverviewEPAM leverages its core engineering expertise as a leading global product development and digital platform engineering services company. It was founded in 1993, and is headquartered in Newtown, Pennsylvania, USA, with a workforce of 10001+ employees. Its website is https://www.epam.com.Company H1B SponsorshipEPAM Systems has a track record of offering H1B sponsorships, with 11 in 2026, 120 in 2025, 172 in 2024, 232 in 2023, 373 in 2022, 359 in 2021, 502 in 2020. Please note that this does not guarantee sponsorship for this specific role.