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Description

We're eliminating the complexity of data infrastructure. At Estuary, we build connectivity systems that seamlessly unify real-time and historical data, allowing engineering teams to focus on their core products rather than managing data pipelines.

The Role

Join our team in developing both open-source data connectors and our managed service platform. You'll work alongside experienced engineers to build the infrastructure powering modern data integration.

Technical Stack

• Primary Languages: Rust, Go, Python
• Focus Areas: Real-time processing, data integration, distributed systems
• Development: Both open-source and managed services

Your Projects Will Include

• Creating high-performance data connectors for SaaS platforms
• Building distributed systems for real-time data exchange
• Designing intuitive configuration interfaces
• Implementing robust data extraction strategies
• Contributing to open-source components

Required Technical Skills

• Backend development experience (1+ years, including projects/internships)
• Proficiency in Rust, Go, or Python
• Strong understanding of:
  • Software development principles
  • Debugging methodologies
  • Version control systems
  • Data integration concepts

Engineering Approach

You should be:

• Excited to learn new technologies
• Comfortable working independently
• Strong at problem-solving
• Clear in written and verbal communication
• Interested in real-time data processing

Valuable Additions

• Experience with distributed systems
• Cloud platform knowledge
• Open-source contributions
• Startup environment experience

Day-to-Day Activities

• Design and implement new features
• Write and review code
• Debug technical issues
• Research integration solutions
• Collaborate with team members
• Stay current with technology trends

Growth Opportunities

You'll develop expertise in:

• Multiple programming languages
• Distributed system design
• Data integration patterns
• Real-time processing
• Open-source development

Impact

Your work will help teams:

• Process real-time data efficiently
• Simplify their data infrastructure
• Connect diverse data systems
• Focus on their core business logic

Location:
United States

Tags

#Dataops

# Pipeline

# Ci

# Real-Time Data