Staff Data Engineer

TL;DR

Staff Data Engineer (Data Analytics): Own and evolve the analytics and data infrastructure, focusing on building data pipelines for customer intelligence and driving smarter business decisions. Focus on designing data architecture, translating data into actionable business insights, and establishing best practices for the data stack.

Location: Candidates must be based in the SF Bay Area or willing to relocate to the United States (you will be working on-site in our South Bay office a few days a week)

Salary: $200,000 - $290,000

Company

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.

What you will do

• Own the analytics platform end-to-end, assessing current state, identifying gaps, and building missing components.
• Design and build data pipelines focused on customer intelligence to identify opportunities to grow and improve retention.
• Analyze results, surface insights, and push the organization to act on them.
• Partner with product, engineering, and ML teams to define what to measure and how to operationalize insights.
• Drive technical direction for the data stack and establish best practices as the function grows.

Requirements

• 7-10+ years of experience in Data Engineering.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience).
• Deep hands-on experience with data platforms and tooling, including BigQuery, Google Cloud Dataflow, Dagster, Looker Studio, or equivalent tools.
• Strong communicator who can translate data into business decisions and influence cross-functional stakeholders.
• Experience designing data architecture and providing technical guidance to others.
• Candidates must be based in the SF Bay Area or willing to relocate.

Culture & Benefits

• Total compensation includes equity and benefits in addition to base pay.
• Individual pay is determined by work location, level, and additional factors.