People Analytics Full Stack Developer

What you'll do

• Build and optimize data models, schemas, and views within Snowflake and relational databases.
• Develop and maintain Python backends, APIs, and web frontends for internal people tools.
• Build and operate ETL pipelines including scheduling, incremental refreshes, and data-integrity validation.
• Automate build processes, containerization, and configuration management across Linux infrastructure.
• Deliver engineering work using agentic AI coding tools to design, build, test, and ship code.
• Establish and own metric definitions to ensure consistent reporting across all analytics platforms.
• Re-engineer existing systems to improve simplicity, standardization, and security while delivering new features.
• Maintain technical documentation and codebase context for both human colleagues and AI tooling.

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 building ETL pipelines.
• Python experience spanning 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 covering image build, deployment, and troubleshooting networking, storage, and runtime issues.
• 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 agreeing on metric definitions with business partners (preferred).
• Experience delivering on shared data platforms with centrally owned pipelines (preferred).
• Experience working directly with senior business leaders to present findings (preferred).
• Familiarity with Python web frameworks like Flask or FastAPI (preferred).
• Experience with NumPy, pandas, and statistical analysis techniques (preferred).
• Experience building services for AI tooling such as Model Context Protocol servers (preferred).