Apple
Data Engineer, Operations Finance
$149K–$249K
Sunnyvale, California · Full-time · Posted Oct 20, 2026
- Experience
- Minimum 5 years of data engineering experience building end-to-end data pipelines.
- Education
- Bachelor’s degree in Computer Science, Information Systems, or equivalent.
About the job
Build and improve finance data platforms for logistics and supply-chain costing, forecasting, analytics, automation, and AI applications.
What you'll do
- Document logistics and supply-chain finance processes and implement reengineering and automation opportunities.
- Build scalable data pipelines and foundational data structures for analytics, reporting, and AI workloads.
- Establish data modeling, governance, lineage, quality, and documentation practices; support foundations for Agentic and GenAI applications.
What they ask for
- At least 5 years of experience building end-to-end data pipelines as a data engineer.
- Bachelor’s degree in Computer Science, Information Systems, or equivalent.
- Advanced SQL skills for complex transformations, optimization, and troubleshooting.
- Python proficiency for clean, maintainable data pipelines and automation.
Nice to have
- Experience with scheduling systems and CI/CD tools such as Airflow or Jenkins.
- Hands-on experience with relational database management systems such as Snowflake, PostgreSQL, or similar cloud data warehouses.
Pay
$149,200 to $249,000 USD base salary
Tools
SQL, Python, Dataiku, Airflow, Jenkins, Snowflake, PostgreSQL
AI focus
Build scalable data pipelines and vector-ready data models, feature pipelines, and metadata systems to support Agentic and GenAI applications and workloads.
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