Data & Analytics Engineer, AiDP

Apple Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Apple Inc. in Austin, Texas is seeking a Data & Analytics Engineer to design, build, and scale the data foundation powering AI-driven platforms.

You will develop robust pipelines and models for batch and real-time use, collaborating with AI/ML teams to support training, inference, and autonomous workflows. The role emphasizes data quality, observability, and cost-efficient optimization across Snowflake, BigQuery, Databricks, and related tools, with a focus on self-service analytics for

Qualifications

• Proficiency in Python and SQL with pipeline development
• Hands-on with cloud data warehouses (Snowflake/BigQuery/Databricks)
• Experience in data modeling and data quality practices
• BS in CS or equivalent industry experience

Responsibilities

• Design, build, and maintain scalable data pipelines and ELT workflows.
• Develop clean, reliable datasets for batch and real-time use.
• Collaborate with AI/ML teams to support model training and inference.
• Implement data quality, observability, and monitoring across pipelines.
• Build data models in modern cloud warehouses.
• Use DBT to create modular, tested transformation layers.
• Orchestrate workflows with Airflow, Prefect, or Dagster.
• Optimize pipelines for performance, scalability, and cost.
• Contribute to data architecture for AI agents and autonomous workflows.
• Enable self-service analytics for engineering and product teams.
• Promote best practices for data engineering in an AI-first platform

Skills

Python

SQL

Data pipelines

Data modeling

Cloud analytics

Education

B.S. in Computer Science or equivalent

Tools

Snowflake

BigQuery

Databricks

DBT

Airflow

Job description

Austin, Texas, United States Corporate Functions

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your work, and there’s no telling what you could accomplish.AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

The Developer Experience Platform team is building the next generation of AI-powered tools that accelerate how applications are developed across Apple. We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform.In this role, you will develop robust data pipelines and analytics systems that enable AI agents, autonomous workflows, and data-driven insights—directly impacting how software is built at scale.

Responsibilities

• As a hands-on engineer, you will:
• Design, build, and maintain scalable data pipelines and ELT workflows to support AI and analytics use cases
• Develop clean, reliable, and well-modeled datasets for both batch and real-time consumption
• Partner closely with AI/ML engineers and platform teams to deliver high-quality data for model training, inference, and agent workflows
• Implement data quality, observability, and monitoring systems to ensure trust and reliability across pipelines
• Build and optimize data models in modern cloud data warehouses (e.g., Snowflake, BigQuery, Databricks)
• Use tools like DBT to create modular, testable, and well-documented transformation layers
• Orchestrate and manage workflows using tools such as Airflow, Prefect, or Dagster
• Optimize pipelines and queries for performance, scalability, and cost efficiency
• Contribute to the design of the data architecture supporting AI agents and autonomous workflows
• Enable self-service analytics and reporting for engineering and product teams
• Collaborate across teams to define and implement best practices for data engineering in an AI-first platform

Minimum Qualifications

• 3+ years of hands-on experience in data engineering, analytics engineering, or a related role in a production environment
• Proficiency in Python and SQL, including pipeline development, automation, and performance optimization
• Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, or Databricks)
• Experience implementing monitoring, logging, and observability for data pipelines
• Experience with data modeling
• B.S. in Computer Science or similar or equivalent industry experience

Preferred Qualifications

• Experience building AI/LLM-powered data pipelines, including RAG systems and integrations with APIs such as OpenAI or Anthropic
• Experience with real-time/streaming data systems such as Apache Kafka, Flink, or Spark Structured Streaming
• Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster
• Knowledge of MLOps workflows, including feature engineering, model deployment, and monitoring (e.g., MLflow, Vertex AI)
• Experience with data quality, governance, and lineage tools (e.g., Great Expectations, Monte Carlo)
• Experience building and maintaining ELT pipelines using DBT
• Experience building dashboards and analytics using tools like Tableau, Looker, or Power BI
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and associated data services (e.g., S3, Glue, Dataflow)

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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