EPAM Systems
Posted 60 days agoVerified live 2d ago
Data Software Engineer
Brief overview
Remote
UndergradOr in progress
2+ yrsMinimum
526 H-1B approvalsDept. of Labor
520 green cardsCertified filings
Data Software EngineeringBig Data technologiesData managementData storageData visualizationData operationsData securityData ingestion pipelinesData WarehousingData LakesPythonJavaScalaKotlinSQLNoSQL databasesSpark
About the company
EPAM Systemsepam.com
EPAM leverages its core engineering expertise as a leading global product development and digital platform engineering services company.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.526H-1B approved
99%approval rate
140new H-1B hires
520PERM certified
$115,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023195
2024183
2025120
202628
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202374
202445
202523
202611
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
2023106
2024179
2025193
202642
Top sponsored roles
Senior Software EngineerSENIOR SOFTWARE ENGINEERLead Software EngineerLEAD SOFTWARE ENGINEERSenior Systems Engineer
Sponsored employees from
IndiaBelarusUkraineRussiaKazakhstan
Job description
Summary
EPAM Systems is seeking a highly skilled and experienced Data Software Engineer to advance the development of data-centric applications. This role involves working with cutting-edge Big Data tools and cloud technologies while collaborating across teams to deliver innovative solutions for complex business challenges.
Responsibilities
- Develop and refine data software applications used by Data Integration Engineers
- Build and deploy sophisticated analytical solutions with Spark, PySpark, NoSQL, and other Big Data tools
- Integrate AWS cloud services to improve and automate data workflows
- Support product and engineering teams by collecting insights and enabling better decisions
- Coordinate across architects, technical leads, and other teams to ensure cohesive implementations
- Determine business needs and technical context to deliver appropriate technical solutions
- Conduct code reviews to maintain coding standards and promote best practices
- Validate and test deliverables against functional, technical, and performance requirements
- Maintain thorough project documentation for future reference and iteration
- Interact with clients to clarify needs and provide expert technical advice
Skills
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a similar field
- 2+ years of experience in Data Software Engineering focused on Big Data technologies
- Comprehensive understanding of data engineering areas such as data management, storage, visualization, operations, and security
- Strong expertise in data ingestion pipelines, Data Warehousing, and Data Lakes
- Proficiency across Python, Java, Scala, or Kotlin for building data-centric software
- Extensive knowledge of SQL as well as NoSQL databases
- Proven hands-on experience with Spark and PySpark
- Ability to implement and deploy data solutions on AWS, including Glue and RedShift
- Familiarity with CI/CD pipelines and integration/deployment workflows
- Experience with containerization using Docker, Kubernetes, and Yarn
- Practical knowledge of Databricks for advanced analytics and engineering workloads
- English proficiency at B2 (Upper-Intermediate) level or above in speaking and writing
- Familiarity with Hadoop, Hive, Flink, and other Big Data tools
- Knowledge of SDLC methodologies, with Agile experience
- Capability to implement and manage SDLC processes effectively
Qualifications
Must Haves
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a similar field
- 2+ years of experience in Data Software Engineering focused on Big Data technologies
- Comprehensive understanding of data engineering areas such as data management, storage, visualization, operations, and security
- Strong expertise in data ingestion pipelines, Data Warehousing, and Data Lakes
- Proficiency across Python, Java, Scala, or Kotlin for building data-centric software
- Extensive knowledge of SQL as well as NoSQL databases
- Proven hands-on experience with Spark and PySpark
- Ability to implement and deploy data solutions on AWS, including Glue and RedShift
- Familiarity with CI/CD pipelines and integration/deployment workflows
- Experience with containerization using Docker, Kubernetes, and Yarn
- Practical knowledge of Databricks for advanced analytics and engineering workloads
- English proficiency at B2 (Upper-Intermediate) level or above in speaking and writing
Nice to Haves
- Familiarity with Hadoop, Hive, Flink, and other Big Data tools
- Knowledge of SDLC methodologies, with Agile experience
- Capability to implement and manage SDLC processes effectively
Benefits
- 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 LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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