Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Senior Data Software Engineer to join its team. The role combines hands-on engineering and technical leadership, focusing on scalable data architecture, ETL/ELT pipelines, delivery governance, stakeholder coordination, and production support.

Responsibilities

• Architect and maintain the code base for ETL and ELT pipelines, along with large batch, micro-batch, and streaming systems
• Build the infrastructure required for optimal extraction, transformation, and loading of data from diverse sources using ADF, Spark, Kafka, or similar technologies
• Identify, design, and implement internal process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for greater scalability
• Design and implement data services solutions using technologies such as Spring Boot, ReactJS, NoSQL, and related UI and API tools
• Ensure governance of delivery management and production processes according to the selected delivery model
• Act as the single point of responsibility for delivery-related matters with top management and stakeholders, including escalations, upsells, and ramp-downs
• Provide technical leadership for delivery, ensuring a sound and future-proof architecture is planned and implementation meets required quality standards
• Write user stories and associated acceptance criteria within an agile/scrum workflow
• Coordinate across multiple disciplines and stakeholders to align delivery efforts
• Ensure projects are delivered in line with customer processes and methodologies, with strong familiarity in various delivery models and a focus on agile approaches
• Establish a continuous delivery risk management strategy that supports proactive decisions and actions throughout the delivery lifecycle
• Measure and improve delivery productivity over time
• Serve as a consultant to Data Engineers, supporting quality and timely delivery of their work
• Perform production support and deployment activities

Skills

• A minimum of 3 years of relevant experience
• Strong core Python skills for data engineering tasks
• Proficiency in SQL for data manipulation and querying
• Experience with Apache Spark for large-scale data processing
• Familiarity with Anthropic Claude Code
• Experience with Databricks for data engineering and analytics workflows
• Excellent English proficiency (B2 level or higher)
• Experience with Apache Kafka for event streaming
• Familiarity with Java
• Experience with PySpark
• Familiarity with Scala
• Experience with Spark Streaming

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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