People Analytics Full Stack Developer

Apple, Inc.; Austin (TX); On-site; USD 180,000 - 230,000; Full time

Job summary

Apple Austin seeks a senior analytics engineer to build and run end-to-end analytics products for the People Analytics team. You will model data in Snowflake, develop Python backends and APIs, and ship dashboards in production.

You will use agentic AI coding tools as a primary delivery method while upholding standards for architecture, security and data accuracy. You will design data models, implement ETL pipelines, and automate deployment across Linux infrastructure, collaborating with partners

Qualifications

• Bachelor's degree in Computer Science, Information Management Systems, Data Science, Software Engineering, or related field.
• 7+ years of experience developing and maintaining analytics products, reports and dashboards.
• Deep SQL and Snowflake experience: designing schemas, optimizing queries, ETL pipelines.
• Python experience spanning backend web services, APIs, and data-processing automation.
• Hands-on Linux experience operating servers unaided and diagnosing issues.
• Container experience with image build and deployment; basic networking, storage and runtime.

Responsibilities

• Design, develop and deploy reports, dashboards and analytics across the employee lifecycle.
• 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/data-refresh pipelines between Snowflake and operational databases.
• Automate build, containerization, deployment, and configuration across Linux-based infrastructure.
• Establish and own metric definitions and ensure data accuracy against live systems.
• Collaborate with People Analytics and technology teams to deliver analytics solutions.
• Occasional meetings outside standard hours; regular travel not required.

Skills

Deep SQL & Snowflake

Python backend & APIs

Linux server administration

Agentic AI tools (Claude Code)

Data modeling & ETL design

Stakeholder communication

Security & data governance

Education

Bachelor's degree in CS/IS/Data Science

Tools

Snowflake

Python

Linux

Docker

Claude Code

Flask/FastAPI

NumPy & pandas

Job description

Austin, Texas, United States Corporate Functions

At Apple, our greatest resource is our people. The People Analytics team builds thedata products that help Apple's HR organization make decisions with evidence:measuring how we recruit, develop, listen to and retain employees, and putting thatinsight in front of the teams and leaders who act on it. The work is small-team andhigh-ownership - the person who models the data is the same person who ships thedashboard and operates it in production.

Description

This role builds and runs analytics products end to end: modeling data in Snowflake,developing Python web services and APIs, building dashboards that surface actionableinsight, and automating deployment across Linux infrastructure. You will use agenticAI coding tools such as Claude Code as a primary means of delivery, running parallelsessions to design, build, test and ship - while holding the standards that generatedcode does not: sound architecture, data security, and catching the query that runswithout error and returns the wrong number.

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 so several sessions can run in parallel, then
• reviewing and correcting the generated code before it ships.
• Establish and own metric definitions: determine how each measure is calculated,
• keep the same metric reporting identically wherever it appears, and validate
• figures against source data before release.
• Maintain the technical documentation and codebase context that keep a large
• reporting estate workable, for colleagues and for AI tooling alike.
• Re-engineer existing analytics and reporting systems to improve simplicity,
• standardization and security, alongside delivering new features.
• Partner with People Analytics colleagues and internal technology teams to deliver
• analytics solutions.
• This role works with colleagues in other regions, so occasional meetings outside
• standard working hours should be expected. Regular travel is not required.

Minimum 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
• 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, and 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 such as Claude Code,
• including running parallel sessions and reviewing generated code to identify edge
• cases, incorrect output and unsound patterns before it ships.
• A track record of confirming data and system behavior by measuring against the live
• system rather than inferring it from documentation, naming or generated explanations.
• Experience working with employee data or other sensitive personal data under
• row-level security and data-access restrictions.
• Proven autonomy: experience owning delivery end to end with minimal direction,
• choosing the approach and making implementation decisions without escalation.
• Experience delivering to competing deadlines and shifting priorities without loss of
• data accuracy, and setting expectations with stakeholders on scope and timing.
• Flexibility to work across time zones, including meetings outside standard hours to
• reach colleagues and partners in other regions.

Preferred Qualifications

• Experience agreeing metric definitions with business partners and holding those
• Experience delivering on a shared data platform where pipeline changes are
• centrally owned: scoping a minimal change, evidencing it, and sequencing configuration and code releases.
• Experience working directly with senior business leaders: taking requirements
• first-hand, presenting data and findings, explaining caveats clearly to
• non-technical partners, and responding when the numbers are challenged.
• Familiarity with Python web frameworks such as Flask or FastAPI.
• Experience with Python data processing libraries such as NumPy and pandas, and
• awareness of data science and statistical analysis techniques.
• Experience building or operating services that make internal systems available to
• AI tooling, such as Model Context Protocol (MCP) servers.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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