People Analytics Full Stack Developer
Apple· Corporate Functions
Hybrid (Austin, TX), Hybrid (Cupertino, CA)$149.2k - $249kfull-timePosted 3w ago
About the role
Role documenting end-to-end analytics product development for Apple's People Analytics team, including data modeling in Snowflake, Python backends and APIs, dashboards, and production deployment with agentic AI coding tools while upholding data security and accurate metrics.
Responsibilities
- Design, develop and deploy reports, dashboards and analytics across the employee lifecycle, enabling data-driven decisions for business partners and leadership.
- Build and optimize data models, schemas and views in Snowflake and relational databases to support reliable, high-quality analytics products.
- Develop and maintain Python backends, APIs and web frontends that power internal people tools and employee-facing applications.
- Build and operate ETL and data-refresh pipelines between Snowflake and operational databases, including scheduling, incremental refresh, caching and data-integrity validation.
- Automate build, containerization, deployment and configuration management across Linux-based infrastructure.
- Deliver engineering work with agentic AI coding tools as the primary development method: scoping and decomposing tasks, running parallel sessions, then reviewing and correcting generated code before it ships.
- Establish and own metric definitions: determine how each measure is calculated, ensure consistency across surfaces, and validate figures against source data before release.
- Maintain technical documentation and codebase context for a large reporting estate and AI tooling compatibility.
- Re-engineer existing analytics and reporting systems to improve simplicity, standardization and security, while delivering new features.
- Partner with People Analytics colleagues and internal technology teams to deliver analytics solutions.
- Occasional meetings outside standard hours and regular travel not required.
Qualifications
- 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, including dashboard visualization development.
- Deep SQL and Snowflake experience: designing schemas, optimizing queries, and building ETL pipelines including incremental refresh and caching strategies.
- Python experience spanning backend web services, APIs, and data-processing automation.
- Hands-on Linux experience operating servers unaided: working over SSH, running long-lived services behind a reverse proxy, diagnosing problems with processes, networking, file systems and performance.
- Container experience covering image build and deployment, and troubleshooting networking, storage and runtime issues.
- Daily production experience with agentic AI coding tools (e.g., Claude Code), including running parallel sessions and reviewing code for edge cases and correctness.
- Ability to confirm data and system behavior by measuring against live systems rather than relying on documentation or generated explanations.
- Experience working with employee data or other sensitive personal data under row-level security and data-access restrictions.
- Proven autonomy: ownership of end-to-end delivery with minimal direction; capable of deciding approach and implementing without escalation.
- Experience delivering to competing deadlines and shifting priorities without compromising data accuracy; setting stakeholder expectations on scope and timing.
- Flexibility to work across time zones, including meetings outside standard hours.
Skills
Required:SQLSnowflakePythonLinuxContainerizationAgentic AI coding toolsData securityStakeholder communicationData visualization
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Educational expense reimbursement including tuition
- Discretionary bonuses or commission potential
- Relocation support (where applicable)
- Stock-related programs (discretionary RSUs, Employee Stock Purchase Plan)
Last updated Oct 2, 2026. Interested? Apply on the company site.
About Apple
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