Software Development Engineer - Data

Apple Inc

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Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$277,600 / yr
Posted: 139 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $214k

$119k most similar roles pay here $295k

This role pays more than 73% of similar roles. Most pay $135,675–$214,850 — the shaded band above. At the midpoint, this role pays about $214k versus about $175k 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.

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At a glance

TL;DR · Software Development Engineer - Data

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The Software Development Engineer - Data joins the Commerce Engineering team to lead data architecture and technical compliance efforts across the commerce landscape. This role involves building a unified commerce data platform, where you will develop scalable data pipelines, storage solutions, and backend services for high-volume data. You will be responsible for the instrumentation and ingestion of events, ensuring data is handled in a privacy-safe manner to support downstream analytics, reporting, and machine learning model training. The role requires expertise in Scala or Java, Python, SQL, and schema design. You will work with technologies including Apache Spark, Flink, Kafka, Iceberg, Airflow, and NoSQL solutions like Cassandra, Voldemort, and Memcached. You will also utilize GenAI tools to enhance developer efficiency while managing complex data modeling for the company's digital distribution services.

What does a Software Development Engineer earn in California?

Median $217725 from 77 postings across 8 companies.

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Skills

Apache Spark Flink Kafka Iceberg Scala Java Python SQL NoSQL Cassandra Voldemort Memcached Airflow ETL GenAI Data Modeling Distributed Systems Streaming

What you'll do

Develop scalable data pipelines and storage solutions for high-volume commerce data.
Design and implement large-scale backend services and commerce datasets.
Ensure data quality, reliability, and observability through metrics, monitoring, and validation.
Manage the instrumentation and ingestion of events into privacy-safe data pipelines.
Enable downstream use cases including analytics, metric reporting, and machine learning model training.
Implement storage solutions that scale and surface data quality and pipeline metrics.
Research and adopt new technologies to improve system performance and developer efficiency.

What we're looking for

BS in Computer Science or Software Engineering; MS preferred.
2+ years of experience developing ETL jobs for high-volume data using Apache Spark, Flink, Kafka, and Iceberg.
Expert knowledge of at least one object-oriented programming language such as Scala or Java.
Proficiency in SQL, schema design, and data modeling concepts.
Ability to program in scripting languages like Python.
Experience with NoSQL solutions including Cassandra, Voldemort, or Memcached.
Experience with streaming and batch data processing.
Experience using GenAI tools to enhance developer efficiency.