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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
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Software Engineer (Data Solutions), AI & Data Platforms (AiDP) joins the Information Systems and Technology organization to build scalable, resilient distributed systems on cloud infrastructure. This role involves developing new components from concept to release, integrating open source software with internal ecosystems, and collaborating with customers to design features that streamline data exploration, analytics, reporting, and production models. The work addresses complex challenges involving high data volumes across hybrid cloud and on-premise environments. Key responsibilities include writing code, designing applications, tuning, debugging, and supporting production systems. Required skills include proficiency in Python, Scala, or Java; experience with SQL, Snowflake, or Big Query; and knowledge of BI concepts. Preferred qualifications include expertise in Spark, Kafka, RESTful APIs, ETL processes, and data visualization tools like Streamlit, Superset, Tableau, Business Objects, or Looker to generate insights and KPIs.
What does a Software Engineer earn in Texas?
Median $192050 from 192 postings across 39 companies.
Engineer high-quality, scalable, and resilient distributed systems on cloud infrastructure.
Develop new software components and features from initial concept through to final release.
Integrate open source software with internal enterprise ecosystems.
Build applications for data exploration, analytics, reporting, and production models.
Optimize SQLs, procedures, and semantic processes for distributed data applications.
Design and develop cloud-based services including APIs, ETL pipelines, and notification systems.
Tune and debug codebases while supporting production applications and end users.
Generate and visualize data insights, metrics, and KPIs using various visualization tools.
What we're looking for
Bachelor's degree in Computer Science or equivalent experience.
Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query.
Programming experience building high-quality software in at least one of Python, Scala, or Java.
Experience developing highly optimized SQLs, procedures, and semantic processes for distributed data applications.
3 or more years of experience building enterprise-level data applications on distributed systems (preferred).
Hands-on experience designing and developing cloud-based applications including compute services, databases, RESTful APIs, ETL, queues, and notification services (preferred).
Experience with cloud data warehousing platforms like Snowflake (preferred).
Experience developing Big Data applications using Java, Spark, Kafka, or utilizing tools like Streamlit, Superset, Tableau, Business Objects, and Looker (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
Go
AWS
GCP
AliCloud
Kubernetes
Docker
PostgreSQL
MongoDB
Microservices
REST
gRPC
Data Engineering
Containerization
Multi-threading
Concurrency
System Design
API Development