work on projects with high technical complexity and spanning across the stack, from backend data systems to frontend of Hex’s collaborative notebook interface
Using DuckDB to enable seamless data interoperability between Python and SQL code written by our users or AI agents
Building intelligent caching systems to speed up customer data queries
Implementing a graph-based dependency framework for optimizing multi-step execution plans
Instrumenting complex, multi-language systems to identify performance bottlenecks
Building visualizations into the product to help users understand the performance characteristics of their code

Requirements

6+ years of engineering experience working on complex, data-driven systems or applications
Expert-level understanding of Python, SQL, jupyter kernels, and/or data warehousing systems
Deeply informed on industry trends around data processing, databases, and performant data architectures
You love diving into highly complex codebases and have a passion for designing elegant abstractions that improve correctness and developer productivity
An inexhaustible desire to understand where every millisecond of time could be going
An instinct for strategic thinking and aligning with business and product goals while keeping a healthy balance of velocity and engineering excellence
Experience working in a remote-first team and strong communication skills in this context.

Benefits

competitive total rewards package
market-benched salary
equity
comprehensive health benefits
flexible paid time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLDuckDBjupyter kernelsdata warehousingdata processingperformance optimizationgraph-based dependency frameworkcaching systemsdata visualization

Soft Skills

strategic thinkingcommunicationproblem-solvingcollaborationdeveloper productivityattention to detailadaptabilitypassion for designtime managementremote teamwork