Vagas remotas de SQL com elegibilidade clara.

Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse

Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.

obsess with crafting code that is fast, reliable and practical for the problem

Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries.

Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so

Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so

Optimize our homegrown ultra-dynamic recruiting DSL-to-SQL compiler, and create tools to help developers do so

A built-in data warehouse, so users can query product and customer data together using custom SQL insights.

Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Be the driving force behind our mobile app. You’ll set the tone for how we build a beautiful and reliable on-call app that customers love using.

Identifying the right problems to solve, focusing on meaningful outcomes, and using your experience to make trade-offs that have the highest impact on customers as fast as possible,

Resolve Technical Issues: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries.

Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries.