# Software Engineer III (Data & Insights)

**Company**: Electronic Arts
**Location**: Shanghai
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/zh_CN/careers/JobDetail/Software-Engineer-III-Data-Insights/216499?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_47bc1142-854

## Description

Join Electronic Arts' central engineering team to build the next-generation Lifecycle Management (LCM) Experimentation & Analytics Platform. This platform supports live services across 20+ world-class game studios and millions of daily active players.

As a Software Engineer III - EA Enterprise Intelligence, you will work at the intersection of Software Engineering, Data Science, Data Analytics, and Data Engineering. Your role involves transforming cutting-edge statistical methodologies, experimentation designs, and advanced analytics frameworks into scalable, robust, and reusable platform services.

Responsibilities:

- Build configuration dashboards for game studio teams to launch and evaluate experiments independently.

- Develop and maintain low-latency APIs and microservices for real-time experiment assignment and player targeting at scale.

- Develop contextual analytics systems for batch and real-time processing pipelines.

- Partner with DS, DA, and DE teams to platformize, package, and automate statistical or Machine Learning methodologies.

- Standardize behavioral event schemas, configuration models, and metadata contracts across diverse game titles.

- Promote the value of the LCM platform by providing in-depth data insights into players' engagement with content across live channels.

Qualifications:

- Master's degree or foreign degree equivalent in Computer Science, Electrical Engineering, or a related field.

- 3+ years of experience in software development building data-intensive systems, distributed backend services, or platform APIs.

- Strong experience collaborating with Data Science, Data Analytics, or Machine Learning teams.

- Solid conceptual understanding of A/B testing, hypothesis testing, and core statistical mechanisms.

- Expertise in Python and at least one compiled language (such as Java, Go, or Scala), along with advanced SQL skills.

- Experience with distributed data frameworks and modern Lakehouse/Data Warehouse solutions.

- Familiarity with cloud services (AWS preferred), containerization (Docker/Kubernetes), and pipeline workflow orchestrators (like Airflow).

- Strong cross-functional collaboration and communication across regions/time zones.

## Skills

### Required
- Python
- Java
- Go
- Scala
- SQL
- A/B testing
- Machine Learning
- Data Science
- Data Analytics
- Data Engineering

### Nice to have
- Gaming industry experience
- Game telemetry data
- AWS
- Docker/Kubernetes
- Airflow

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/zh_CN/careers/JobDetail/Software-Engineer-III-Data-Insights/216499?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)