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

Lead Data Software Engineer
EPAM Systems, Inc. —Remoto
- Home Office
- Azure
- Design de Sistema
- Inglês
Há 5 dias
Data Engineer
Particle41 —Remoto
- Home Office
- Azure
- Ciência da Computação
- Banco de Dados
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Lead Data Software Engineer
EPAM Systems, Inc. —Remoto
CI/CD pipeline experience supporting full-stack deployments. Lead technical delivery across data engineering and full-stack components.
Há 5 dias
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Rush Street Interactive —Mato Grosso
Experience with a cloud-based tech stack on platforms such as AWS, GCP or Azure (docker or Kubernetes). Broad skills using ELT tools and data integration-…
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Lead Data Software Engineer

EPAM Systems, Inc. -
Remoto

Candidate-se Agora

Detalhes da vaga

Há 5 dias

Qualificações

Azure
Desenvolvimento Full Stack
Design de Sistema
Inglês
Java
SQL
Scala
APIs
Apache
GraphQL
Inteligência artificial
Liderança
Habilidade de Comunicação
Python
Padrões de Design

Descrição completa da vaga

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

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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