Data Science Engineer, Apple Energy Services

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$171,600–$258,100 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $215k
$89k most similar roles pay here $276k

This role pays more than 86% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $215k versus about $162k 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 324 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 230 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Science Engineer, Apple Energy Services

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As a Data Science Engineer joining Apple’s Energy Services Engineering team, you will play a pivotal role in developing a robust and highly scalable data platform that supports millions of users. Your day-to-day responsibilities include investigating emerging technologies, creating prototypes, and integrating third-party solutions to drive innovation. You’ll work closely with passionate problem solvers to design and build impactful services within one of Apple’s most innovative spaces, contributing to the company's ambitious goal of becoming carbon neutral by 2030. The ideal candidate has a bachelor’s degree in Software Engineering and at least four years of experience in data or backend engineering, along with expertise in Python, Kotlin, or Java, proficiency in SQL and analytical query engines like Trino, Snowflake, and BigQuery, and hands-on experience with data pipeline orchestration and quality monitoring. Additional skills such as familiarity with lakehouse formats, ML pipelines, and time-series data at scale are highly valued, particularly for those with a background or interest in energy, climate, or sustainability.

Skills

Python Kotlin Java Trino Snowflake BigQuery SQL Delta Iceberg Hudi MLOps

What you'll do

  • Develop and maintain a robust, scalable data platform for millions of users.
  • Design and implement data models and table schemas for analytical workloads.
  • Monitor and ensure high-quality data through validation processes.
  • Engage in early development investigations and prototype creation.
  • Integrate third-party services to enhance the functionality of data platforms.

What we're looking for

  • Bachelor’s degree in Software Engineering and 4-5 years of relevant experience.
  • Strong hands-on experience with Python, Kotlin, or Java.
  • Proficiency in SQL and analytical query engines like Trino, Snowflake, BigQuery.
  • Experience designing data models and table schemas for analytical workloads.
  • Hands on with data pipeline orchestration and quality monitoring.

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