We are looking for a Senior Data Software Engineer to build high-performance big-data applications and cloud-native data pipelines while enabling AI-assisted engineering practices. You will partner with cross-functional teams to deliver reliable data and application solutions—apply now to make an impact.
Responsibilities
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Develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python
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Build and optimize cloud-native data pipelines on Azure, including Azure Data Factory ingestion, transformation, and orchestration
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Implement robust APIs and microservices that integrate MarTech systems with client-facing platforms
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Design event-driven and distributed architectures that improve reliability, maintainability, and scalability
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Build and maintain full-stack applications using modern frontend frameworks and backend services
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Drive AI-assisted engineering practices including Vibe Coding and generative-AI development accelerators
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Collaborate with product, marketing, and data teams to translate business needs into technical solutions
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Optimize performance, cost, and operational stability across data processing and application services
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Establish engineering standards and review practices to improve code quality and delivery velocity
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Support CI/CD pipelines and release processes for full-stack and data workloads
Requirements
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3+ years of experience in data software engineering using Python and Scala
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3+ years of experience with Databricks for large-scale data processing
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3+ years of experience with AI-augmented development practices including Anthropic Claude Code and Vibe Coding
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Proven team leadership skills in a fast-paced, cross-functional environment
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Strong project delivery skills across data and application layers
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Advanced system design skills with event-driven architectures and distributed design patterns
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Cloud engineering skills with Azure services including Azure Data Factory
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Full-stack engineering skills with modern frontend frameworks such as React, Angular, or Vue
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Backend development skills using Node.js, Python, or Java
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API design skills with RESTful and GraphQL services
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CI/CD pipeline skills supporting full-stack deployments
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Strong communication skills to align stakeholders and explain technical trade-offs
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Upper-Intermediate English level (B2)
Nice to have
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Apache Spark expertise beyond managed Databricks usage
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Azure Data Factory advanced patterns for orchestration and monitoring
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Java experience for backend services
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM 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.
