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People Analytics Full Stack Developer

Apple· Corporate Functions
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Hybrid (Austin, TX), RemoteFull-timePosted 3w ago

About the role

Role designing, building and operating end-to-end analytics products for Apple’s People Analytics team, with a focus on data modeling in Snowflake, Python backends and APIs, dashboards, ETL pipelines, and deployment automation across Linux infrastructure. Emphasizes agentic AI coding tools, data security, and producing production-ready analytics in partnership with HR stakeholders.

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 tasks, running parallel sessions, and reviewing generated code before it ships.
  • Establish and own metric definitions, ensuring consistent calculations and validating figures against source data.
  • Maintain technical documentation and codebase context for colleagues and AI tooling integration.
  • 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.
  • Collaborate with stakeholders to deliver insights and ensure data accuracy across reporting surfaces.
  • Work across time zones and with senior business leaders to collect requirements, present findings and explain caveats.

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: SSH access, running services behind a reverse proxy, diagnosing issues 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): running parallel sessions and reviewing generated code to identify edge cases and incorrect outputs before shipping.
  • Proven ability to validate data and system behavior against live data rather than relying on documentation or generated explanations.
  • Experience handling employee or other sensitive data under row-level security and data-access restrictions.
  • Autonomy in delivering end-to-end projects with minimal direction, making implementation decisions without escalation.
  • Ability to meet deadlines with shifting priorities without compromising data accuracy and communicating scope/timing to stakeholders.
  • Flexibility to work across time zones and attend meetings outside standard hours to collaborate with regional teams.
  • Experience agreeing metric definitions with business partners and maintaining consistency across multiple reporting surfaces.
  • Experience delivering on a shared data platform with centrally owned pipeline changes, including scoping, evidencing, and sequencing configuration and code releases.
  • Experience working directly with senior business leaders, gathering requirements, presenting data, and explaining caveats to non-technical partners.

Skills

Required:SQLSnowflakePythonLinuxContainerizationAgentic AI codingData securityCommunication with senior stakeholders

Benefits

  • EEO and inclusive workplace values
  • Accessibility-focused culture and resources
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

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