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Apple Data Analytics Engineer Jobs (NOW HIRING)

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

At Apple, new ideas have a way of becoming extraordinary products, services, and customer ... We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation ...

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

At Apple, new ideas have a way of becoming extraordinary products, services, and customer ... We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation ...

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

At Apple, new ideas have a way of becoming extraordinary products, services, and customer ... We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation ...

Senior Engineering Manager - Solutions Engineering, Apple Data Platform Cupertino, California ... data, analytics, AI, and governance at Apple scale. We are looking for a highly technical and ...

$42 - $55.75/hr

... power analytics and data engineering across the company. As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from ML/AI platform services to multi‑cloud ...

Data Analytics Engineer

Austin, TX · On-site

$108K - $129K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making ...

$84K - $101K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making ...

Data Analytics Engineer

Austin, TX · On-site

$113K - $136K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making ...

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Showing results 1-20

Apple Data Analytics Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do apple data analytics engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for apple data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Apple Data Analytics Engineer vs Apple Data Scientist?

AspectApple Data Analytics EngineerApple Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience with SQL, Python, and data visualization toolsBachelor's or Master's in Data Science, Statistics, or related; strong statistical and machine learning skills
Work EnvironmentFocus on data pipeline development, data warehousing, and analytics infrastructure within AppleFocus on modeling, predictive analytics, and deriving insights from data
Employer & Industry UsageUsed across Apple’s product teams for data management and analyticsUsed for advanced modeling and research to inform product decisions

Apple Data Analytics Engineers primarily develop data pipelines and manage data infrastructure, while Data Scientists focus on building models and analyzing data to generate insights. Both roles require strong technical skills and are integral to Apple's data-driven decision-making process.

What are popular job titles related to Apple Data Analytics Engineer jobs?

For Apple Data Analytics Engineer jobs, the most frequently searched job titles are:

Infographic showing various Apple Data Analytics Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data & Analytics Engineer, AiDP

Austin, TX • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$113K - $136K/yr

Full-time

Re-posted 9 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

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.
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)

What Apple employees say

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Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

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 job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976