Senior SDLC Analytics Engineer

Apple, Inc.; San Diego (CA); On-site; USD 142,000 - 214,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Retirement benefits

Employee stock programs

Tuition reimbursement

Job summary

Apple in San Diego is seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background to join the SDLC analytics team. You will architect data models and build a unified analytics platform that correlates events across the development lifecycle.

The role focuses on scalable data infrastructure, real-time and batch processing, and delivering insights through dashboards and metrics to improve engineering performance.

Qualifications

• Minimum 4 years of relevant industry experience.
• Strong software engineering foundation with experience building and operating production data systems.
• Proven track record with data-intensive products end-to-end.
• Deep expertise in data modeling (time-series and dimensional).
• Hands-on with event streaming (Kafka) and orchestration (Airflow, Spark).
• Proficiency in Java; strong SQL; full data stack experience.
• Knowledge of databases for operational and analytical workloads.

Responsibilities

• Data Model & Schema Engineering: Engineer unified schemas across platforms.
• SDLC Platform Integrations: Build data pipelines ingesting events from source control, build, deployment, tests, registries.
• Analytics Infrastructure & Database Architecture: Scalable DB solutions, time-series storage, data warehouse.
• Analysis, Tooling & Reporting: Deliver visualizations, anomaly detection, and tooling for engineering teams.

Skills

Data modeling

Java

SQL

Kafka

Airflow

Spark

Event streaming

Full data stack

Education

BS in Computer Science

Tools

CDEvents

Job description

Apple in San Diego is seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background to join the SDLC analytics team. You will architect data models and build a unified analytics platform that correlates events across the development lifecycle.

The role focuses on scalable data infrastructure, real-time and batch processing, and delivering insights through dashboards and metrics to improve engineering performance.