> Markdown version of [/jobs/ext/2068176-software-engineer-data-solutions-ai-data-platform-aidp](https://www.wearedevelopers.com/jobs/ext/2068176-software-engineer-data-solutions-ai-data-platform-aidp). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer - Data Solutions, AI & Data Platform (AiDP)

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, App Store (IOS), Big Data, Cloud Computing, Information Systems, Information Engineering, Data Infrastructure, Data Systems, Data Warehousing, Relational Databases, Python (Programming Language), Machine Learning, Software Tools, SQL Databases, Apache Spark, Data Lakes, Semi-structured Data, Information Technology, Apache Flink, Data Analytics, Apache Kafka, Data Management, Data Pipelines
- **Published:** August 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3354596188&tx=IT8982TYD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

You'll bring hands-on experience in data warehousing and analytics, and thrive on solving hard, large-scale data problems. If you're passionate about building production-grade platforms and want to make a lasting impact at scale, we'd love to talk to you., * Bachelor's degree or equivalent in Computer Science, Information Systems, or a related field.

 * 4+ years of subsequent data engineering experience across the required skills.
 * 4+ years experience working in the data warehousing, big data and analytics domains
 * Deep understanding and experience of working with high volume, high concurrency platforms
 * Writing Spark, Trino, Flink code, Python and SQL for large scale relational data warehouses and data lake platforms on the cloud.
 * Designing data pipelines for structured and semi-structured data., * Building highly scalable data engineering platform components and foundational tools in Python, Java, or Scala.
 * Deep experience working with AI models and tools such as Claude, building agents etc
 * Experience with large scale platform migration projects
 * Working with distributed frameworks including Apache Kafka and Apache Spark and Flink and knowledge of Cloud platforms and technologies

## Description

We are looking for a Software Engineer to help build next- generation of Applied Machine Learning Data Platforms. Applied Machine Learning Data Platform team provides platform engineering, data engineering tools, data pipelines, and services for various Machine Learning and Analyst teams. These help to train and deploy inference models, and run data analytics at scale to prevent Fraud and automate decisioning on multiple Apple Platforms like Apple Pay, Apple Media Products, App Store, Online Store, Retail, AppleCare and Manufacturing. Our team within the greater AiDP team is the Core Platform Engineering team which is a backbone of the platform, responsible for handling data at multi-petabyte scale with low latencies and high concurrency., We're looking for a Software Engineer with a strong data background and deep platform-thinking to design, build, and enhance a scalable, efficient data platform.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)
- [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)