Customer Delivery Engineer, NASA
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.
Own the hardest part of customer adoption. Ship real results, fast.
You’re not just handing out advice, you’re building real systems, fixing real problems, and translating reference architectures into blazing-fast production deployments.
As a Customer Delivery Engineer at Tiger Data, you’ll work directly with our most strategic customers during their make-or-break moments: migrations, performance tuning, schema design, and production rollout. You’ll write SQL, debug slow queries, optimize real workloads, and you’ll do it all while using AI copilots to go faster and work smarter. Your job is to help customers go live successfully, not to write long docs or open tickets for someone else to fix.
This isn’t a support role. It’s a delivery engineering role for builders who thrive in ambiguity, love working directly with customers, and want to see their work quickly translate into a real-world production environment.
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, remote position. This application will focus on North America/South America (NASA) time zones.
What you will be responsible for in this role:
Deliver customer projects
Implement migrations, data optimizations, and schema designs
Scope and execute engagements with clear, measurable deliverables
Fix complex technical problems
Tune slow queries and configurations
Write tactical fixes and scripts to unblock customers quickly
Apply AI to accelerate engineering
Use copilots (LLMs, AI assistants) to generate query rewrites and test optimizations
Create reusable AI prompts and delivery playbooks
Bridge architecture and reality
Translate reference architectures into customer-specific deployments
Adapt TigerData features (e.g., Hypertables, Hypercore, continuous aggregates, vector search) to real workloads
Be the customer’s technical champion
Own technical success during project delivery
Escalate to core Engineering only when there’s a product-level gap
Capture and share knowledge
Write playbooks, scripts, and internal guides
Feed learnings back to Product and Engineering
You could be a great fit if you:
Have deep hands-on experience with PostgreSQL — especially SQL tuning, performance optimization, and schema design
Have delivered complex migrations, data transformations, or optimizations in production environments
Are fluent in SQL and Python (or similar scripting languages for data work)
Are comfortable leading technical conversations with customers, especially under pressure
Love using AI tools (copilots, LLMs) to speed up query rewriting, code generation, or problem diagnosis
Communicate clearly and know how to explain tradeoffs to customers in high-stakes moments
Bonus: experience in Implementation Engineering, Integration Engineering, Solutions Engineering, Professional Services, or Technical Consulting
You might not be a great fit if you:
Prefer building long-term features instead of solving immediate customer problems
You’re uncomfortable being hands-on with messy workloads (slow queries, bad schemas, confusing configs)
Dislike being customer-facing and want to stay behind the scenes
Prefer reactive ti
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