AI-Driven People Analytics Engineer

Apple, Inc.; Cupertino (CA); On-site; USD 149,000 - 249,000; Full time

Benefits offered by this job

Discretionary bonuses or commission

Relocation assistance

Apple stock programs

Medical and dental coverage

Education reimbursement

Job summary

Apple, Inc. is seeking an experienced analytics professional to design and operate end-to-end analytics products. You will model data in Snowflake, develop Python backends and deploy dashboards that surface actionable insights for People Analytics.

You will automate ETL pipelines, ensure data security, and partner with cross-functional teams to deliver reliable, scalable solutions across Linux infrastructure. Regular meetings outside normal hours may occur across time zones.

Qualifications

• Bachelor's degree in Computer Science, Information Management Systems, Data Science, Software Engineering.
• 7+ years of experience developing and maintaining analytics products, reports and dashboards.
• 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, long-lived services, reverse proxy, troubleshooting.
• Container experience covering image build and deployment, and troubleshooting networking and runtime issues.
• Daily production experience with agentic AI coding tools such as Claude Code, including running parallel sessions and reviewing generated code.
• Proven autonomy delivering end-to-end with minimal direction.

Responsibilities

• Design, develop and deploy reports, dashboards and analytics across the employee lifecycle.
• Enable data-driven decisions for business partners and leadership.
• Build and optimize data models, schemas and views in Snowflake and relational databases.
• Develop and maintain Python backends, APIs and web frontends powering internal tools.
• Build and operate ETL and data-refresh pipelines between Snowflake and operational databases.
• Automate build, containerization, deployment and configuration management across Linux infrastructure.
• Establish and own metric definitions and validate figures against source data.
• Maintain documentation and codebase context for a large reporting estate.

Skills

SQL

Snowflake

Python

Linux

Containerization

Claude Code

Education

Bachelor's degree in Computer Science, Information Management Systems, Data Science, Software Engineering

Tools

Snowflake

Python

Linux

Docker

Claude Code

Job description

Apple, Inc. is seeking an experienced analytics professional to design and operate end-to-end analytics products. You will model data in Snowflake, develop Python backends and deploy dashboards that surface actionable insights for People Analytics.

You will automate ETL pipelines, ensure data security, and partner with cross-functional teams to deliver reliable, scalable solutions across Linux infrastructure. Regular meetings outside normal hours may occur across time zones.