> Markdown version of [/jobs/ext/1428214-data-engineer-ai-ml](https://www.wearedevelopers.com/jobs/ext/1428214-data-engineer-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - AI/ML

- **Company:** TRM Labs
- **Location:** United States (Remote available)
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Audit Trail, Code Review, Databases, Data Infrastructure, Data Security, Cursor (Graphical User Interface Elements), Software Debugging, Log Analysis, Online Analytical Processing, Operational Databases, Performance Tuning, Query Optimization, Backup and Restore, Vertica, Data Pipelines
- **Published:** July 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=16c43ada69547da7

## About the Role

* U.S. citizenship is required for this role due to government cloud data access requirements.
 * Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar), including query tuning and performance optimization at scale.
 * Experience owning data pipeline reliability and incident response, and comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation.
 * Independent ownership mindset: you can pick up an unfamiliar piece of production infrastructure, use AI-assisted research and code exploration to ramp quickly, and take on-call responsibility with minimal oversight., * Priorities and targets to change quickly as we experiment and iterate
 * Work that often requires operating with a high degree of ambiguity
 * A high level of personal ownership and accountability
 * Close collaboration across teams and functions
 * Frequent, high-touch communication
 * Creative problem solving and out-of-the-box thinking
 * A pace that rewards urgency, adaptability, and outcomes

This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.

We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.

At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like

## Description

* You will own performance tuning on the StarRocks serving layer, using AI-assisted query profiling (Claude, internal tooling) to find and fix slow query patterns before they become customer-facing incidents.
 * You will build and harden data pipelines feeding government cloud investigations, using AI code review workflows to ship reliable changes faster in a high-compliance environment where mistakes are costly.
 * You will reduce single-point-of-failure risk on GovCloud data infrastructure by becoming the second engineer who can independently operate and troubleshoot the serving layer, cutting incident response time when the primary owner is unavailable.
 * You will use AI-assisted debugging and log analysis to triage production issues in a regulated environment, turning multi-hour investigations into rapid root-cause fixes., * The Data Platform Serving team owns the layer that turns TRM's data into fast, reliable answers for the teams and systems built on top of it.
 * We're distributed, not distant: the team communicates constantly across Slack and async docs, with a bias toward direct, evidence-based technical discussion.
 * Decisions are made close to the data: engineers who operate the systems make the calls on architecture and tradeoffs, with input from the broader Data Platform org.
 * We work closely with Forward Deployed Engineering and Product teams to keep the government cloud environment at parity with our commercial platform.

Team Operating Rhythms:

 * Weekly team sync to review open incidents, in-flight infrastructure work, and upcoming compliance milestones.
 * Async daily updates in Slack on pipeline health, ongoing tickets, and blockers.
 * Sprint-based planning cycles with clear ownership assigned per workstream.
 * Retro after any production incident to capture learnings and adjust runbooks.

Learn about TRM Speed in this position:

 * A production database migration broke search-attribute registration across two environments right before a critical audit deadline. The on-call engineer traced the root cause, shipped a fix, and had both environments passing smoke tests again within the same day.
 * With a compliance deadline days away, the team needed off-cluster backups for the government cloud database with zero prior tooling in place. An engineer designed and shipped the full backup and restore pipeline - three stacked PRs - in under two weeks.
 * Audit log retention needed to jump to meet a new compliance floor with no advance notice. The engineer used AI-assisted config generation to update retention policies across the environment and verify compliance the same week., We hire and grow against three leadership principles. They're the standards for how we operate, treat each other, and make decisions.
 * Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment - test, ship, measure, and iterate quickly.
 * Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end-to-end, and invest in getting better everyday.
 * Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one-team mindset - giving and receiving feedback to make the team stronger., By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy.

We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM.

Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law.

If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com.

To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.


## Related Videos

- [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app)
- [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner)
- [No Keys for the Robot: GitOps as the Control Plane for Autonomous Agents](https://www.wearedevelopers.com/videos/100095-no-keys-for-the-robot-gitops-as-the-control-plane-for-autonomous-agents)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)