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# Software Engineer (Data Solutions), AI & Data Platforms (AiDP)

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Software as a Service, Cloud Computing, Cloud Database, Databases, Data as a Services, Extract Transform Load (ETL), Data Structures, Data Systems, Data Visualization, Software Debugging, Distributed Data Store, Distributed Systems, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Standard Sql, Software Engineering, Tableau (Software), Google Cloud, Cloud Platform System, Snowflake, Apache Spark, Sap Business Objects, Information Technology, Data Analytics, Apache Kafka, Free and Open-Source Software, Data Management, Hardware Infrastructure, Software Coding, Restful APIs, Streamlit Framework, Looker Analytics, Programming Languages
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_apple2-200684577

## About the Role

This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives. **Minimum Qualifications** + Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query + Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java. + Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications. + Bachelor's degree in Computer Science or equivalent experience **Preferred Qualifications** + 3 or more years of experience building enterprise-level data applications on distributed systems + Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.

 + Experience in cloud data warehousing platforms like Snowflake is highly valued + Experience developing Big Data applications using Java, Spark, Kafka is a huge plus + Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving + Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud + Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker + Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs.
Usage of basic ML models in the space of anomaly detection, forecasting, GenAI. 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.

## Description

The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. **Description** We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models.
Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure.
This role will build solutions that integrate open source software with Apple's internal ecosystem.
You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence.
You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform.
This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users.