People Analytics Full Stack Developer

What you'll do

• Build and optimize data models, schemas, and views in Snowflake and relational databases.
• Develop Python backends, APIs, and web frontends to power internal people tools.
• Build and operate ETL pipelines including scheduling, incremental refresh, and data-integrity validation.
• Automate build, containerization, deployment, and configuration management across Linux infrastructure.
• Deliver engineering work using agentic AI coding tools as the primary development method.
• Establish and own metric definitions to ensure consistent reporting across all platforms.
• Maintain technical documentation and codebase context for both human colleagues and AI tooling.
• Re-engineer existing analytics systems to improve simplicity, standardization, and security.

What we're looking for

• Bachelor's degree in Computer Science, Information Management Systems, Data Science, Software Engineering, or a related field.
• 7+ years of experience developing and maintaining analytics products, reports, and dashboards.
• Deep SQL and Snowflake experience including schema design, query optimization, and ETL pipeline construction.
• Python experience across backend web services, APIs, and data-processing automation.
• Hands-on Linux experience operating servers via SSH, managing long-lived services, and diagnosing system issues.
• Container experience involving image builds, deployment, and troubleshooting networking and storage.
• Daily production experience with agentic AI coding tools like Claude Code to develop and review code.
• Experience handling sensitive personal data under row-level security and access restrictions.
• Experience defining metrics with business partners (preferred).
• Experience working with senior leaders to present findings to non-technical partners (preferred).
• Familiarity with Flask, FastAPI, NumPy, pandas, or statistical analysis techniques (preferred).
• Experience building services for AI tooling like Model Context Protocol servers (preferred).