Software Development Engineer, System Analytics & Intelligence

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
61 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $169,050–$222,000 — the blue band above. At the midpoint, this role pays about $214k versus about $196k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Software Development Engineer, System Analytics & Intelligence

The Software Development Engineer, System Analytics & Intelligence (SAIL) joins the Core OS team to transform massive amounts of workflow data into strategic intelligence. In this role, you will design and build large-scale data pipelines, backend services, and APIs that turn raw signals from the development lifecycle into actionable insights. You will own the architecture, reliability, and performance of these systems to improve developer productivity and software quality. Key technical requirements include proficiency in Python, SQL, and experience with modern data platforms like data warehouses or data lakes. You should also possess skills in CI/CD, system design, and containerization technologies like Docker and Kubernetes. The work involves solving complex data engineering problems to provide visibility into the software development workflow for the Core OS product area.

What does a Software Development Engineer earn in California?

Median $197750 from 81 postings across 10 companies.

See salary data

What you'll do

  • Design and build large-scale data pipelines and transformation workflows for workflow analytics.
  • Develop backend services and APIs to make data insights accessible to stakeholders.
  • Own the architecture, reliability, performance, and extensibility of all built systems.
  • Translate analytics requirements into reliable and scalable technical solutions.
  • Manage the ingestion and transformation of raw signals from the development lifecycle.
  • Operate production software systems and data infrastructure to ensure high availability.

What we're looking for

  • 3+ years of experience building production software systems, including backend services and APIs, with strong proficiency in Python.
  • Strong software engineering fundamentals with a demonstrated ability in system design and architecture.
  • Hands-on experience building and operating data pipelines with strong SQL and experience across modern data platforms.
  • Experience with CI/CD and production deployment practices.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Experience working with cloud data platforms such as Snowflake or S3 (preferred).
  • Experience with containerization technologies such as Docker and Kubernetes (preferred).
  • Experience with data pipeline orchestration tools like Airflow or Spark and transformation frameworks like dbt (preferred).

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