Data & Analytics Engineer, AiDP

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
24 days ago

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Salary context

How this pay compares to similar roles

Similar $169k
$116k most similar roles pay here $227k

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

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.

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At a glance

TL;DR · Data & Analytics Engineer, AiDP

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The Developer Experience Platform team at Apple is seeking a Data & Analytics Engineer to join their dynamic group as they develop cutting-edge AI tools for application development. In this hands-on role, you will design and maintain scalable data pipelines and analytics systems that support AI agents and autonomous workflows, ensuring high-quality datasets are available for both batch and real-time consumption. You will collaborate with AI/ML engineers to implement robust monitoring and observability practices, optimize cloud data warehouses like Snowflake or BigQuery, and use tools such as DBT and Airflow to create efficient transformation layers and manage workflows. The ideal candidate has 3+ years of experience in data engineering, proficiency in Python and SQL, hands-on experience with cloud data warehouses, and a strong background in implementing monitoring systems for data pipelines.

Skills

Python SQL Snowflake BigQuery Databricks DBT Airflow Prefect Dagster Apache Kafka Flink Spark Structured Streaming MLflow Vertex AI Great Expectations Monte Carlo Tableau Looker Power BI AWS GCP Azure

What you'll do

  • Design and maintain scalable data pipelines for AI and analytics use cases.
  • Develop clean datasets for batch and real-time consumption in cloud warehouses.
  • Implement monitoring systems to ensure reliability across data pipelines.
  • Build and optimize data models in modern cloud data warehouses efficiently.
  • Use DBT to create modular, testable transformation layers for data engineering.

What we're looking for

  • 3+ years experience in data engineering or related field
  • Proficient in Python and SQL for pipeline development and optimization
  • Hands-on experience with cloud data warehouses like Snowflake or BigQuery
  • Expertise in implementing monitoring and observability for data pipelines
  • Experience with data modeling and ELT workflows using DBT
  • Knowledge of workflow orchestration tools such as Airflow or Prefect
  • Bachelor’s degree in Computer Science or equivalent industry experience

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