This role pays more than
61%
of similar roles. Most pay
$127,325–$214,000
— the shaded band above.
At the midpoint, this role pays about
$188k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
Software Engineer - Data Solutions, AI & Data Platform (AiDP) joins the Core Platform Engineering team to build next-generation Applied Machine Learning Data Platforms. This role involves architecting scalable data processing systems for real-time and batch pipelines while developing self-service engineering applications for business users. The engineer will design complex solutions for large-scale platforms handling multi-petabyte data with low latencies and high concurrency to support fraud prevention and automated decisioning across various products. Key responsibilities include writing efficient code, monitoring existing software, and refining system requirements. Candidates must possess expertise in Python, advanced SQL, PySpark, Snowflake, Apache Spark, SparkSQL, Trino, Flink, and Java or Scala. The role requires experience with distributed frameworks like Apache Kafka, cloud platforms, and managing structured or semi-structured data to support machine learning models and large-scale analytics.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Architect scalable data processing systems for real-time, near-real-time, and batch data pipelines.
Develop data engineering solutions using Python and advanced SQL.
Build self-service data engineering applications for business users.
Design complex data processing workflows using PySpark, Snowflake, and Apache Spark.
Create software system testing and validation procedures to ensure performant code.
Monitor existing software to correct errors and implement new platform functionalities.
Develop foundational tools and components for high-volume, high-concurrency data platforms.
What we're looking for
Bachelor's degree or equivalent in Computer Science, Information Systems, or a related field.
4+ years of data engineering experience across data warehousing, big data, and analytics domains.
Experience with high volume, high concurrency platforms.
Proficiency in writing Spark, Trino, Snowflake, Flink, Python, and SQL for large scale relational data warehouses and data lake platforms on the cloud.
Experience designing data pipelines for structured and semi-structured data.
Building highly scalable data engineering platform components and foundational tools in Python, Java, or Scala (preferred).
Deep experience working with AI models and tools such as Claude and building agents (preferred).
Experience with large scale platform migration projects and distributed frameworks like Apache Kafka, Spark, Flink, and cloud technologies (preferred).
Snowflake
Big Query
Python
Scala
Java
Spark
Kafka
AWS
Microsoft Azure
Google Cloud
ETL
Streamlit
Superset
Tableau
Looker
GenAI
Distributed Systems
Data Warehousing
Python
Scala
Java
Snowflake
Big Query
Spark
Kafka
AWS
Microsoft Azure
Google Cloud
ETL
Streamlit
Superset
Tableau
Looker
GenAI
Distributed Systems
Data Warehousing
Python
Java
Machine Learning
Generative AI
Kubernetes
CNCF
Ray
KServe
Triton
Distributed Systems
Concurrency
Data Structures
Algorithms
Containerization
Profiling
Debugging