Senior Software Engineer, SDLC Analytics

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$225,300 / yr
Posted
88 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $188k
$107k $241k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $149,500–$200,312 — the blue band above. At the midpoint, this role pays about $188k versus about $175k for comparable roles.

Based on 240 similar postings.

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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

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 · Senior Software Engineer, SDLC Analytics

The Senior Software Engineer, SDLC Analytics joins the Software Development Life Cycle team to architect and engineer a comprehensive telemetry and analytics platform. This role involves building data-intensive systems that provide deep telemetry across the entire development lifecycle, including source control, build systems, and deployment orchestration. You will engineer unified schemas, design fault-tolerant data pipelines, and implement scalable database solutions for time-series and dimensional modeling. Key responsibilities include building analytics capabilities to measure engineering effectiveness through DORA metrics and managing real-time streaming and batch workloads. The role requires proficiency in Java, SQL, Kafka, Airflow, and Spark. You will solve the problem of fragmented data by correlating events across the development pipeline to provide a coherent picture of engineering effectiveness and identify workflow bottlenecks.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

What you'll do

  • Engineer unified schemas and data models for SDLC entities across multiple platforms.
  • Design and build robust data pipelines to ingest events from source control, build systems, and deployment services.
  • Architect scalable database solutions including time-series storage and dimensional modeling for analytics.
  • Implement real-time streaming and batch processing using Kafka and other pipeline orchestration frameworks.
  • Develop first-class analytics capabilities to measure engineering effectiveness through DORA metrics.
  • Build custom analytics tools and intuitive visualizations to identify bottlenecks in the development lifecycle.
  • Maintain production-grade infrastructure using software engineering best practices like versioning, testing, and CI/CD.

What we're looking for

  • Minimum 4 years of relevant industry experience.
  • Strong software engineering foundation with experience building and operating production data systems.
  • Proven track record of designing, shipping, and maintaining data-intensive products end-to-end.
  • Deep expertise in data modeling, including time-series and dimensional modeling approaches.
  • Hands-on experience with event streaming platforms like Kafka and pipeline orchestration frameworks like Airflow or Spark.
  • Proficiency in Java and strong SQL skills for data modeling and pipeline development.
  • Solid understanding of database technologies for both operational and analytical workloads.
  • BS in Computer Science, Computer Science, or a related technical field.

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