Database Engineer

pmtbox•Orem, UT

5d•Onsite

About The Position

This role involves building real systems alongside founders and a small, high-performing engineering team within an established fintech platform. The engineer will be responsible for designing and optimizing scalable relational database architecture, improving database performance, and architecting complex data models. The position also includes building tooling for data validation, migrations, and monitoring, as well as contributing to architectural decisions around data storage and scalability. The company utilizes AI-assisted development workflows and emphasizes a tests-first culture with robust CI/CD processes.

Requirements

Strong experience working with relational databases such as Postgres, MySQL, or similar systems, as well as Redis
Understand indexing, query optimization, schema design, migrations, and database scalability concepts deeply
Experience supporting production systems with meaningful operational complexity
Think beyond individual queries and into systems, workflows, maintainability, and reliability
Can build tooling, automation, or operational improvements proactively
Can show things you’ve built yourself: database tooling, performance optimization work, automation scripts, side projects, GitHub projects, or internal infrastructure work
Curious about how AI changes how engineering and operational workflows get built
Experience with AI-assisted development workflows, including building AI workflows with scripts, validation systems, observability, or structured context
Knowledge of how to feed context and operational constraints into AI systems effectively
Experience building a workflow to validate AI-generated outputs
Experience with situations where AI failed confidently and how safeguards were built around it

Nice To Haves

Experience with Postgres functions, PostGIS, and triggers

Responsibilities

Design and optimize scalable relational database architecture across a growing fintech platform
Improve database performance, indexing strategies, query optimization, and operational reliability
Help architect and evolve complex data models tied to payments, fraud, risk, operational workflows, and reporting systems
Build tooling around data validation, migrations, observability, integrity checks, and operational monitoring
Improve reporting, analytics, and internal operational data workflows
Partner closely with backend and frontend engineers to improve system performance and scalability
Contribute to architectural decisions around data storage, caching, replication, and long-term scalability
Use and refine AI-assisted development and operational workflows
Improve database testing, CI/CD processes, and deployment reliability