Software Engineer - Data Platform & Data Products

Apple Inc.
Austin, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 181K

Job location

Austin, United States of America

Tech stack

Java
API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Apache HTTP Server
Automation of Tests
Cloud Computing
Computer Programming
Continuous Delivery
Data as a Services
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Data Systems
Data Warehousing
DevOps
Distributed Systems
Python
Query Optimization
SQL Databases
Data Streaming
Data Logging
Google Cloud Platform
Spark
Backend
Data Lake
Kubernetes
Apache Flink
Kafka
Data Management
Machine Learning Operations
Api Design
Docker

Job description

We are looking for a Senior Engineer to help us transition from centralized data management to a scalable, self-service data mesh. In this role, you won't just move data, you will build the software and services that make data discoverable, reliable, and "product-ready" for the entire organization.

As an engineer focussed on data platform, you will operate at the intersection of Backend Engineering and Data Engineering. You will design and own data products delivered through software, including curated datasets, data services, and APIs that power analytics, applications and AI/ML use cases. This includes building batch and real-time streaming pipelines, backend services, and developer-facing tools.

You'll drive architecture, system design, and engineering standards while working closely with data, platform, and product teams. While a DevOps team supports infrastructure, you will be hands-on with cloud-native systems and own services end to end.

Requirements

7+ years of experience in software/data engineering, with focus on data architecture

Strong programming skills in Python and/or Java/Scala/Go

Proficiency in data modeling, SQL, partitioning strategies, and query optimization

Hands-on experience with modern data stack (e.g., Flink, Kafka, dbt, Airflow, Spark, Iceberg or similar)

Experience with Open Table Formats (e.g., Apache Iceberg, Delta Lake) and catalog management

Solid experience building APIs, services, and distributed systems

Proven track record of implementing CI/CD, automated testing, data quality validation, and observability (logging, metrics, tracing) for data systems

Experience with cloud and containerized systems (e.g., AWS/GCP, Kubernetes, Docker)

Preferred Qualifications

Experience building internal data platforms or developer-facing tools

Solid experience with data mesh and "Data as a Product" principles

Experience building the data foundations for GenAI or ML workflows

Knowledge of data governance, lineage, and metadata systems

Benefits & conditions

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About the company

Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Data Solutions & Initiatives (DSI) is a dynamic team within Apple's Worldwide Sales organization. Our mission is to drive innovation through product design, engineering, and portfolio management. We thrive in a startup-like atmosphere where individuals take ownership and have a significant impact on the final product. In this environment, we move quickly, experiment boldly, and expect our team to take full ownership of what they deliver.

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