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
