We are looking for a Senior Data Software Engineer to build high-performance big-data applications and cloud-native data pipelines while shaping AI-assisted engineering practices. You will collaborate across product, marketing, and data teams to deliver reliable APIs and scalable systems—apply now.
Responsibilities
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Develop high-performance big-data applications using Databricks, Scala, 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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Design and implement robust APIs and microservices that integrate MarTech systems with client-facing platforms
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Drive AI-assisted engineering practices, including Vibe Coding and other generative-AI development accelerators
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Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems
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Build and maintain full-stack applications using modern JavaScript frameworks and backend services
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Collaborate with product, marketing, and data teams to translate business needs into technical solutions
Requirements
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3+ years of experience in big-data engineering with Databricks, Python, and Scala
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3+ years of experience building Spark workloads with Spark SQL and Spark Streaming
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Proven team leadership experience in a fast-paced, cross-functional environment
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Strong project ownership skills to translate business needs into technical solutions
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Advanced system design skills with event-driven architectures and distributed design patterns
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Cloud engineering experience with Microsoft Azure services including Azure Data Factory
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Full-stack development experience with modern frontend frameworks such as React, Angular, or Vue
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Backend engineering experience with Node.js, Python, or Java services
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API design expertise with RESTful and GraphQL interfaces
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CI/CD pipeline experience supporting full-stack deployments
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Experience with AI-augmented development practices such as Vibe Coding or comparable frameworks
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Strong communication skills to align stakeholders and explain technical trade-offs
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English proficiency at B2 Upper-Intermediate level
Nice to have
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Apache Spark expertise beyond core workloads
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Azure Data Factory advanced orchestration and monitoring skills
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Java backend development experience
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JavaScript framework depth in React, Angular, or Vue
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.
