Backend Engineer: Enterprise Cloud Data Apps

Neura Market

Bellevue, Northern (WA, KY)

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Snowflake is seeking a Backend Engineer to join the Streamlit in Snowflake (SiS) team. You will build robust backend services and APIs using Python, Go, and Java, designed to run inside Snowflake's secure, scalable data cloud and empower enterprise data applications.

You will design scalable services, work with distributed systems, containerization (Docker, Kubernetes), and cloud platforms (AWS/Azure/GCP), and collaborate with design, product, and cloud infrastructure to deliver

Qualifications

  • 3+ years of experience building backend systems for enterprise web applications or cloud-based platforms.
  • Strong development skills in Python, Go, or Java, with cloud-native architectures.
  • Proficiency in designing and implementing RESTful APIs, GraphQL, or gRPC services with focus on performance and scalability.
  • Deep understanding of distributed systems, microservices architecture, and cloud infrastructure patterns.
  • Experience with enterprise software requirements including security, governance, multi-tenancy, data isolation, or platform engineering.
  • Strong system design skills, including scalability patterns, caching strategies, and performance optimization.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and hands-on experience with containerization (Docker, Kubernetes) and infrastructure-as-code.
  • Experience with data processing, streaming systems, or working with large-scale data platforms is highly desirable.
  • Hunger to build exceptional backend systems that scale to enterprise requirements and handle mission-critical workloads.
  • Deep passion for learning and proactively developing new skills, with ability to communicate technical concepts clearly across engineering and business stakeholders.
  • Thrive in dynamic environments with evolving priorities, bringing clarity and organization to complex enterprise requirements.
  • Understanding of data workflows, analytics tools, and data platform architectures is a plus.
  • Experience with security and compliance requirements in enterprise software environments (SOC 2, GDPR, HIPAA) is preferred.
  • Familiarity with frontend technologies (React, TypeScript) to collaborate effectively with frontend teams is a bonus.

Responsibilities

  • Build industry-leading backend features and APIs that enterprise users and data teams depend on within the Snowflake platform.
  • Design and implement scalable backend services that seamlessly integrate with Snowflake's native compute, storage, and security infrastructure.
  • Lead projects that span backend architecture, data processing pipelines, and cloud infrastructure within Snowflake's distributed system.
  • Promote strong collaboration within cross-functional teams of Design, Product, Engineering, and Cloud Infrastructure.
  • Build for enterprise scale, performance, and security to serve large organizations and their data workloads, handling high-throughput and low-latency requirements.
  • Contribute to the technical architecture and product vision for data application development in the cloud.
  • Ensure seamless integration with Snowflake's security model, governance features, multi-tenant architecture, and data isolation requirements.
  • Design and optimize APIs for performance, reliability, and developer experience.
  • Implement robust monitoring, observability, and error handling for production systems.

Skills

Backend systems
Python/Go/Java
APIs (REST/GraphQL/gRPC)
Distributed systems
Security/compliance
Cloud platforms
Containers

Tools

Docker
Kubernetes

Job description

Snowflake is seeking a Backend Engineer to join the Streamlit in Snowflake (SiS) team. You will build robust backend services and APIs using Python, Go, and Java, designed to run inside Snowflake's secure, scalable data cloud and empower enterprise data applications.

You will design scalable services, work with distributed systems, containerization (Docker, Kubernetes), and cloud platforms (AWS/Azure/GCP), and collaborate with design, product, and cloud infrastructure to deliver

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