Data & Analytics Engineer, AiDP

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
3 days ago
Nearby
99+ roles within 25 mi

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How this pay compares to similar roles

Similar $170k
$121k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $130,833–$209,750.

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 1833 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1493 roles with salary data.

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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-powered tools for application development. In this hands-on role, you will design and build 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 work closely with AI/ML engineers to deliver reliable data for model training and inference, implement robust monitoring systems, and optimize cloud-based data warehouses like Snowflake or BigQuery. Additionally, you will use tools such as DBT and workflow orchestrators like Airflow to create efficient transformation layers and manage complex workflows, enabling self-service analytics across engineering teams. Ideal candidates have a strong background in data engineering with experience in cloud platforms and AI/LLM integrations.

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, build, and maintain scalable data pipelines for AI and analytics use cases.
  • Develop clean datasets for batch and real-time consumption in modern cloud warehouses.
  • Implement monitoring systems to ensure trust and reliability across data pipelines.
  • Build and optimize data models in cloud data warehouses like Snowflake or BigQuery.
  • Use DBT to create modular, testable transformation layers for data engineering.
  • Optimize pipelines and queries for performance, scalability, and cost efficiency.
  • Enable self-service analytics and reporting for cross-functional teams.

What we're looking for

  • 3+ years experience in data engineering or analytics engineering
  • 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 building ELT pipelines using DBT
  • Knowledge of workflow orchestration tools such as Airflow or Prefect
  • B.S. in Computer Science or equivalent industry experience required

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