2 melhores vagas de full stack developer (python) – (Contratando agora!)

Senior Data Software Engineer
EPAM Systems, Inc. —Remoto
- Home Office
- Azure
- Design de Sistema
- Inglês
Há 6 dias
Data Engineer
Particle41 —Remoto
- Home Office
- Azure
- Ciência da Computação
- Banco de Dados
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Senior Data Software Engineer
EPAM Systems, Inc. —Remoto
CI/CD pipeline skills supporting full-stack deployments. Build and maintain full-stack applications using modern frontend frameworks and backend services.
Há 6 dias
Data Engineer
Particle41 —Remoto
Stay updated with the latest technologies and trends in full-stack development. ELK stack, Redis, distributed task queues.
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Senior Data Software Engineer

EPAM Systems, Inc. -
Remoto

Candidate-se Agora

Detalhes da vaga

Há 6 dias

Qualificações

Azure
Node.js
React
Design de Sistema
Inglês
Java
SQL
Scala
Angular
APIs
Martech
Apache
GraphQL
Inteligência artificial
Liderança
Habilidade de Comunicação
Python
Padrões de Design

Descrição completa da vaga

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

Develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python
Build and optimize cloud-native data pipelines on Azure, including Azure Data Factory ingestion, transformation, and orchestration
Implement robust APIs and microservices that integrate MarTech systems with client-facing platforms
Design event-driven and distributed architectures that improve reliability, maintainability, and scalability
Build and maintain full-stack applications using modern frontend frameworks and backend services
Drive AI-assisted engineering practices including Vibe Coding and generative-AI development accelerators
Collaborate with product, marketing, and data teams to translate business needs into technical solutions
Optimize performance, cost, and operational stability across data processing and application services
Establish engineering standards and review practices to improve code quality and delivery velocity
Support CI/CD pipelines and release processes for full-stack and data workloads

Requirements

3+ years of experience in data software engineering using Python and Scala
3+ years of experience with Databricks for large-scale data processing
3+ years of experience with AI-augmented development practices including Anthropic Claude Code and Vibe Coding
Proven team leadership skills in a fast-paced, cross-functional environment
Strong project delivery skills across data and application layers
Advanced system design skills with event-driven architectures and distributed design patterns
Cloud engineering skills with Azure services including Azure Data Factory
Full-stack engineering skills with modern frontend frameworks such as React, Angular, or Vue
Backend development skills using Node.js, Python, or Java
API design skills with RESTful and GraphQL services
CI/CD pipeline skills supporting full-stack deployments
Strong communication skills to align stakeholders and explain technical trade-offs
Upper-Intermediate English level (B2)

Nice to have

Apache Spark expertise beyond managed Databricks usage
Azure Data Factory advanced patterns for orchestration and monitoring
Java experience for backend services

We offer

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

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.

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