Data Engineer, Operations Finance
Apache Airflow
Artificial Intelligence
Automation
Business Analytics
CI/CD
Cloud
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Dataops
DevOps
Devops Tools
ETL
Informatica
Information Technology (IT)
Programming
Reporting and Analytics
Snowflake
Software Development
SQL
Workflow Orchestration
Job Description
Apple is seeking a Data Engineer for Operations Finance to support a financial data platform focused on logistics costing and forecasting. The role centers on re-engineering logistics finance workflows and delivering scalable pipelines, data models, and automation for reporting and AI/GenAI workloads.
Responsibilities
- Understand and document finance processes in the logistics and supply chain domains.
- Find opportunities to re-engineer processes and introduce automation to improve operational efficiency.
- Work with financial analysts, engineers, and operations experts to define data needs and convert them into scalable data foundation structures.
- Design and build scalable, flexible, high-performance data pipelines for analytics, reporting, and AI/GenAI use cases.
- Apply data modeling, governance, lineage, quality, and documentation best practices to maintain trust and consistency across the data ecosystem.
- Partner with cross-functional engineering teams to deliver vector-ready data models, feature pipelines, metadata systems, and foundational components for Agentic and GenAI applications.
- Design and implement scalable data models and modern Data & Business solutions using tools such as Dataiku.
Requirements
- Minimum of 5 years of experience as a data engineer building end-to-end data pipelines.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent.
- Advanced SQL skills for complex transformations, optimization, and troubleshooting.
- Python proficiency, including the ability to write clean, maintainable Python for data pipelines and automation.
Technologies
- Dataiku
- Data & Business solutions
- Agentic/GenAI and AI/GenAI
- Vector-ready data models
- Snowflake
- PostgreSQL
- Airflow
- Jenkins
- CI/CD tools
- Python
- SQL
Location
Sunnyvale, CA (onsite)
Compensation
The base pay range for this role is USD 149,200 - 249,000 per year. Base pay is determined within the range based on skills, qualifications, experience, and location.
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Reimbursement for certain educational expenses, including tuition
- Discretionary bonuses or commission payments, as well as relocation (discretionary, eligibility-dependent)
- Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
- Eligibility for discretionary restricted stock unit awards
- Ability to purchase Apple stock at a discount through voluntary participation in the Apple Employee Stock Purchase Plan
Eligibility Notes
Apple benefit, compensation, and employee stock program participation are subject to eligibility requirements and the terms of the applicable plan or program.
Preferred Qualifications
- Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, and similar tools.
- Hands-on experience with relational database management systems such as Snowflake, PostgreSQL, or similar cloud data warehouses.
- Knowledge of supply chain, logistics, finance, and accounting processes.
- Excellent communication skills and ability to work independently.
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