This role pays more than
81%
of similar roles. Most pay
$155,750–$219,650
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$188k
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.
Sr. Software Engineer (Data Solutions), IS&T Ai & Data Platforms joins the AI & Data Platforms team to build high-quality, scalable, and resilient distributed systems on cloud infrastructure. This role involves developing new components from concept to release, integrating open source software with internal ecosystems, and designing applications for data exploration, analytics, reporting, and production models. The engineer will spend significant time writing code, tuning and debugging codebases, and supporting production applications. Key technical requirements include proficiency in Python, Scala, or Java, along with SQL expertise. Candidates should have experience with Snowflake, BigQuery, or Cloudera, as well as Spark, Kafka, Kubernetes, and RESTful APIs. The role addresses the challenge of managing high data volumes across hybrid cloud and on-premise environments while facilitating the adoption of generative AI and machine learning models for internal users.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Design, build, test, and ship scalable distributed systems on cloud infrastructure at a regular cadence.
Develop high-quality software components that integrate open-source tools with internal ecosystems.
Build solutions for data exploration, analytics, reporting, and production machine learning models.
Write code to develop applications using Python, Scala, or Java in a cloud environment.
Tune and debug existing codebases while providing support for production applications.
Collaborate with internal customers to translate their requirements into new features and system improvements.
Manage large-scale data processing using Spark, Kafka, and containerization technologies like Kubernetes.
Develop tools for data visualization, metrics tracking, and generative AI integration.
What we're looking for
7 or more years of experience developing enterprise level applications.
Implementation experience on Cloud with databases like Snowflake, BigQuery, or Cloudera.
Programming experience with Python, Scala, or Java.
Experience in developing with SQL.
Bachelor's degree or equivalent experience.
Experience designing and developing cloud-based applications including large scale compute, database services, APIs, ETL, queues, and notification services (preferred).
Hands-on knowledge of Spark cluster-computing framework, Kubernetes, or similar containerization technologies (preferred).
Experience with Big Data applications using Java, Spark, Kafka, and various data visualization tools (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
Java
Python
micro-services
REST APIs
AWS
Azure
Big Data
SQL
NoSQL
Distributed Computing
Machine Learning
Generative AI
Data Science
Frontend Frameworks
Data Visualization
Java
Spring Framework
Spring Boot
Generative AI
LLM
micro-services
PostgreSQL
MongoDB
NoSQL
Kubernetes
AWS
GCP
CI/CD
OpenRewrite
J2EE
Jakarta EE
Distributed Systems