Database Support Engineer - US
Tiger DataAbout the role
At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity.
We're looking for a versatile Database Support Engineer to join our Technical Services team. While deep database expertise is at the core of this role, you'll work across our entire technology stack — from PostgreSQL/TimescaleDB to Kubernetes, AWS/Azure cloud infrastructure, and more.
This isn’t just a database job. You’ll work at the intersection of databases, cloud infrastructure, and modern platform engineering. Every day brings different challenges — from optimising complex analytical queries to troubleshooting cloud, Kubernetes, and features built on top of the database that run through separate services. From network issues to using browser DevTools to trace API failures, you’ll help customers across the stack.
You’ll build expertise across our entire platform while deepening your database knowledge. If you enjoy variety, solving hard technical problems, and working directly with customers, this role gives you all of that — in abundance.
Be familiar with TimescaleDB! It's essential that you sign up for the free trial and test it out before you apply and interview. https://console.cloud.timescale.com/signup
Check out a tutorial here: https://docs.tigerdata.com/tutorials/latest/real-time-analytics-transport/
TigerData is a remote-first company. This is a full-time position with priority towards the West Coast along PST or MST time zones.
This is a permanent weekday role with 5-day, 8-hour, Monday - Friday shifts.
While this is a standard weekday role, there may be occasional on-call coverage required.
What You'll Do
Customer Success
Provide technical support to customers experiencing database and platform issues
Translate complex technical concepts into clear, actionable guidance
Collaborate with customers to understand their use cases and optimise their implementations
Deeply understand customer pain points and challenges to deliver solutions that truly address their needs
Be a trusted advisor to customers and help them succeed
Manage customer cases from beginning to end.
Database Excellence
Troubleshoot and optimise PostgreSQL and TimescaleDB performance issues
Help implement database solutions, including Timescaledb features like hypertables, compression strategies, and continuous aggregates
Analyse complex query execution plans and resolve performance bottlenecks, including best practices, backup/restore, migrations, etc
PL/pgSQL procedures for data operations
Test new database features related to TimescaleDB or Agentic PostgreSQL to stay ahead of customers and proactively help them leverage new capabilities
Platform & Infrastructure
Investigate issues across the full stack — from application layer to database internals
Integrate and troubleshoot platform features
Internal Collaboration
Support internal teams, including Solutions and Customer Delivery, with your extensive debugging knowledge across all product features
Partner with Engineering teams to get to the bottom of complex issues and identify root causes
Enable faster resolution of customer issues through cross-team knowledge sharing
Innovation & Growth
Use AI to accelerate your work
Contribute to platform improvements based on real-world customer needs
Stay current with PostgreSQL, TimescaleDB, and cloud technology advancements
Document to support team knowledge sharing
What Success Looks Like
Customers trust your technical guidance and expertise
You help solve complex issues that span multiple parts of the stack
You contribute to making our platform more reliable and performan
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