Job Overview
Location
Remote, U.S
Job Type
Full-time
Category
Data Engineer
Date Posted
March 18, 2026
Full Job Description
đź“‹ Description
- • As a Data Engineer at LiveKit, you will own the analytics infrastructure that powers business intelligence and data analysis capabilities, designing and implementing scalable GCP-based data pipelines from ingestion through transformation to delivery, maximizing the GCP ecosystem for cost-effective solutions while integrating additional services or homegrown tooling where appropriate, and contributing your data pipeline expertise to support product and engineering needs across the broader application data infrastructure.
- • You will be the end-to-end owner of LiveKit’s GCP-based data infrastructure — including ingestion, movement, storage, security, and availability — building and operating reliable, scalable pipelines that power analytics, partnering closely with the Analytics team on downstream transformation and BI, and ensuring production-grade standards through PR reviews, automated testing, proper change management, and engineering rigor.
- • You will maximize the GCP ecosystem by building cost-effective solutions anchored in GCP-native services such as BigQuery, Dataflow, and Cloud Storage, knowing when to extend with third-party tooling or homegrown solutions, and making pragmatic tradeoffs between build vs. buy based on cost and operational burden.
- • You will contribute across data infrastructure by bringing broad data pipeline expertise to application data needs in collaboration with the product engineering team, supporting both analytics and product-facing data systems with a managed-services-first mindset.
- • You will work extensively with AI coding assistants, contribute to evolving AI development workflows and infrastructure, and thrive in a fast-paced startup environment where priorities shift quickly, requiring you to balance long-term architectural thinking with tactical execution while being self-directed and comfortable with ambiguity.
- • You will collaborate cross-functionally with engineering and business stakeholders, clearly explaining complex technical concepts, and help shape the direction of LiveKit’s analytics stack as a foundational IC role with significant ownership over architecture and team growth.
🎯 Requirements
- • 8+ years of experience in data engineering with strong Python and SQL expertise
- • Deep expertise in GCP, with hands-on experience in BigQuery, Dataflow, Cloud Storage, and related analytics services
- • Proven ability to design and implement production-grade data pipelines and aggregation layers for BI and analysis
- • Experience with data movement tools (Estuary, Airbyte, Fivetran, or similar)
- • Solid infrastructure and DevOps fundamentals: Terraform or similar IaC, CI/CD, Git workflows, and change management
- • Experience implementing observability and monitoring for data systems (DataDog, Grafana, or similar)
- • Strong communication skills and ability to work cross-functionally with engineering and business stakeholders
- • Self-directed and comfortable with ambiguity in a fast-paced startup environment
- • Located in the US or Canada
🏖️ Benefits
- • Competitive salary and equity package
- • Health, dental, and vision benefits
- • Flexible vacation policy
- • Opportunity to build something truly impactful to the world
- • Contribute to open source alongside world-class engineers
Skills & Technologies
Python
GCP
Terraform
GitHub
Git
Remote
About LiveKit, Inc.
LiveKit provides open-source and cloud infrastructure for real-time audio and video applications, offering SDKs, APIs, and managed services that enable developers to embed scalable WebRTC-based communication into apps with features such as live streaming, video calls, and AI-driven voice agents.
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