AI Data Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$203,300–$305,600 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $254k
$105k most similar roles pay here $327k

This role pays more than 90% of similar roles. Most pay $126,800–$223,187 — the shaded band above. At the midpoint, this role pays about $254k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · AI Data Engineer

As an AI Data Engineer at Legal Operations, you will join the Applied Data Science team to build and maintain robust data infrastructure for AI applications. Your daily tasks include designing and implementing data pipelines that ingest legal system data, transforming it into formats suitable for AI consumption, and loading vector databases and document stores. You will also develop APIs to expose structured and unstructured data to AI tools, ensuring reliable data delivery through rigorous quality checks and monitoring. Key technologies involve SQL, Python, cloud platforms like Snowflake or Databricks, ETL/ELT tools such as dbt and Fivetran, and vector databases including Pinecone or Weaviate. This role demands expertise in data modeling, API development, and semantic layer integration to optimize AI performance for a global legal organization.

What you'll do

  • Design and implement data pipelines to ingest, transform, and deliver legal system data to AI applications.
  • Build and maintain pipelines for loading vector databases and refreshing document stores used by AI retrieval systems.
  • Engineer data transformations to prepare legal data for AI consumption, including chunking and embedding generation.
  • Develop APIs that expose structured and unstructured data to AI applications and analytics tools.
  • Implement monitoring and alerting for pipeline health, data freshness, and load failures.

What we're looking for

  • 4+ years of experience in AI-related data engineering
  • Strong proficiency in SQL and Python for data transformation
  • Experience with cloud data platforms like Snowflake or Databricks
  • Proficiency in ETL/ELT tools such as dbt or Fivetran
  • Ability to build and maintain REST APIs
  • Understanding of data modeling and transformation best practices
  • Experience with version control (Git) and CI/CD practices

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