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EPAM
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Lead Data Software Engineer

EPAMArgentina; Brazil; Chile; Colombia; Mexico
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Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
21 tags

Technology context

21

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSFull StackJavaAzurePythonCloudBackendFrontendMicroservicesSparkAPIDatabricksRESTCI/CDGraphQLScalaSQLAnthropic Claude CodeAzure Data FactoryData Software Engineering

Full listing

Role description

We are seeking a Lead Data Software Engineer to build and scale big-data applications and cloud-native pipelines while advancing AI-assisted engineering practices. You will guide cross-functional delivery across data and application layers and help shape reliable, scalable architectures - apply now.

Responsibilities

  • Design scalable architectures for distributed data and application systems
  • Lead technical delivery across data engineering and full-stack components
  • Develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python
  • Build and optimize Azure-based data pipelines including ingestion, transformation, and orchestration with Azure Data Factory
  • Implement APIs and microservices that integrate marketing technology systems with client-facing platforms
  • Build and maintain full-stack applications using modern frontend frameworks and backend services
  • Apply design patterns to improve reliability, maintainability, and scalability
  • Drive AI-assisted engineering practices including Vibe Coding and related accelerators
  • Collaborate with product, marketing, and data stakeholders to align scope, priorities, and outcomes

Requirements

  • 5+ years of experience in data software engineering with Python and Scala
  • 5+ years of experience with Databricks and Spark technologies including Spark SQL and Spark Streaming
  • Proven leadership experience leading engineering teams in a fast-paced, cross-functional environment
  • Hands-on project delivery experience translating business needs into technical solutions across data and application layers
  • Strong system design skills including event-driven architectures and distributed design patterns
  • Full-stack development skills with a modern frontend framework and backend services
  • API design skills for RESTful and GraphQL interfaces
  • Cloud engineering experience with Azure services including Azure Data Factory
  • CI/CD pipeline experience supporting full-stack deployments
  • Strong communication skills to align stakeholders and explain technical tradeoffs
  • Upper-Intermediate English proficiency (B2)
  • Availability to overlap with PST until 10 am PST

Nice to have

  • Apache Spark
  • Azure Data Factory
  • Java