678 jobs for "Team Developer- R"

SAP Java Full Stack Engineer

At Apple

Posted on Oct 15

View job Apply on company site

Manager, WW App Store Developer Marketing

At Apple - Culver City

Posted on Oct 15

View job Apply on company site

People Technology: ServiceNow Functional Architect

At Apple - Austin

Posted on Oct 15

View job Apply on company site

Full Stack Engineer 5

At Capital One - Chicago

Posted on Sep 23

View job Apply on company site

Full Stack Engineer 4

At Capital One - Plano

Posted on Sep 23

View job Apply on company site

Lead Software Engineer

At Mastercard - Warszawa

Posted on Oct 22

View job Apply on company site

Senior Manager, Product Management - Consumer & Developer Experience

At Capital One - McLean · Richmond

Posted on Sep 18

View job Apply on company site

Senior Platform Engineer

At Mastercard - Pune

Posted on Sep 17

View job Apply on company site

Lead Software Engineer

At Mastercard - Vadodara

Posted on Sep 10

View job Apply on company site

Software Developer in Test - Assistant Vice President / Vice President

At iCapital - New York

Posted on Sep 30

View job Apply on company site

DevSecOps Platform Engineer - Vice President

At iCapital - Salt Lake City

Posted on Jul 29

View job Apply on company site

Python Software Developer in Test - Assistant Vice President

At iCapital - Salt Lake City

Posted on Mar 7

View job Apply on company site

Staff/Sr. Software Engineer, Performance Testing Platform

At Apple - Santa Clara

Posted on Oct 15

View job Apply on company site

Promotional Artwork Coordinator

At Apple

Posted on Oct 14

View job Apply on company site

Senior Software Platform Engineer, Apple Pay

At Apple - New York City

Posted on Oct 14

View job Apply on company site

Data Center Deployment Planner, Infrastructure Services

At Apple - Sunnyvale

Posted on Oct 14

View job Apply on company site

Software Engineer - Web UI Developer, Insights & Release Technologies

At Apple - München

Posted on Oct 12

View job Apply on company site

Software Engineering Manager - Siri Evaluation, Developer Workflows

At Apple - New York City

Posted on Oct 12

View job Apply on company site

People Analytics Developer and Software Engineer

At Apple

Posted on Oct 11

View job Apply on company site

Senior AI Enablement Engineering Manager, Apps Team

At Apple - Cupertino

Posted on Oct 11

View job Apply on company site

Apple

People Analytics Developer and Software Engineer

ChinaPosted 28 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

At Apple, our greatest resource is our people, and the People Analytics Team is dedicated to ensuring Apple's employees are able to do the best work of their lives.

The People Analytics team is looking for a versatile, self-driven software engineer who has hands-on depth across the full stack, to craft, implement and operate analytics solutions that have direct and measurable impact to the teams that support our people.

This is a rare opportunity to be part of a dynamic team delivering analytics capabilities across the people domain, in the areas of recruitment, employee relations, people survey, talent planning and a number of other strategic focus areas for the organisation.

As a professional who combines deep analytics capability with full-stack software engineering, working with a diverse team of experts, imagine what you could do at Apple.

Description
As an analytics developer and engineer, you will play a pivotal role in the People Analytics team, working with data in the Apple enterprise data warehouse from multiple systems across the Apple HRIS landscape to derive powerful insights for leadership and build analytical products which drive a positive employee experience across Apple.

You work across the full spectrum - from modelling data in Snowflake and building dashboards that surface actionable insight, to developing Python-backed web services and automating workflows with Bash across Linux-based systems. You own solutions across the data, backend, frontend, API, and infrastructure layers - including the containers, daemons, ETL pipelines and internal Model Context Protocol (MCP) servers that power AI and system interoperability, applying best practices and sound technical judgement with a high degree of autonomy.","responsibilities":"Design, develop, and deploy reports, analytics, and dashboards across the employee lifecycle, enabling data-driven decisions for business and leadership.
Build and optimise data models, schemas, and views in Snowflake and relational databases to underpin 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 that move and transform data between Snowflake and operational stores (e.g. MariaDB/MySQL), including scheduling, incremental refresh, caching, and data-integrity validation.
Produce Bash and Python scripts to automate build, containerisation, deployment workflows, configuration management, and operational tasks across Linux-based infrastructure.
Re-engineer existing analytics and reporting ecosystems to improve simplicity, standardisation, and security, while delivering new feature implementations.
Collaborate with global people analytics and IS&T teams to implement analytics solutions, communicating effectively across time zones and cultures.

Preferred Qualifications
B.S. or M.S. in Computer Science, Information Management Systems, Data Science, Software Engineering, or a related field; equivalent professional experience will be fully considered.
Familiarity with Python web frameworks such as Flask or FastAPI.
Experience working with employee data and HR systems.
Knowledge of more advanced data processing techniques using Python libraries such as NumPy and Pandas, as well as awareness of data science and statistical analysis libraries.
Experience building or operating internal Model Context Protocol (MCP) servers or comparable AI/system interoperability services.
Experience with AI/ML integration - LLM APIs, RAG architectures, or AI-assisted tooling, and curiosity about applying these capabilities to analytics and employee experience products.
Experience working across multiple geographies and cultures within a global engineering organisation.

Minimum Qualifications
10+ years of professional experience developing and maintaining analytics products and reports, with proficiency in dashboard visualisation development.
Strong data engineering skills including deep SQL expertise to develop optimised data sets across analytical and operational products.
Good knowledge of Snowflake enterprise data warehouse technology and relational database technologies such as MySQL and PostgreSQL, including schema design and query optimisation.
Proven ETL / data pipeline engineering: designing and operating extract-transform-load workflows across Snowflake and relational databases, including scheduling, incremental/near-real-time refresh, and caching strategies.
Deep proficiency in Python - applied both to backend web development and to data processing and automation tasks.
Solid Linux systems proficiency - Solid Linux systems proficiency - comfortable operating over SSH, managing long-running services and daemons (systemd, gunicorn/uwsgi, nginx/reverse proxies), and troubleshooting at the systems level including processes, networking, file systems, and performance diagnostics, unaided.
Hands-on experience with containers (Docker or an equivalent OCI runtime): authoring Dockerfiles, building and deploying images, and troubleshooting container networking, storage, and runtime issues.
Demonstrated proficiency in Bash scripting for automation, system administration, and operational integration tasks.
Able to design and deliver a feature across every layer - data model, backend, API, and user interface - and make sound design trade-offs with minimal guidance.
Active team player with strong collaboration skills and the ability to partner with teams globally through consistent and effective communication across time zones.
Comfortable managing multiple priorities, setting stakeholder expectations appropriately, and proactively assessing incoming work to take the right action.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile