Apple
Finance Data Engineer
$149K–$249K
Austin, Texas +1 · Full-time · Posted Jun 9, 2026
- Location
- Austin, Texas
Cupertino, California - Experience
- 5+ years of relevant Data Engineering experience.
- Education
- Undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline required.
About the job
Builds and maintains finance data interfaces, pipelines, and datasets that support business analysis and AI workflows.
What you'll do
- Work with data scientists, engineers, and business partners to collect, load, and format data from external sources, internal systems, and the data warehouse.
- Develop, test, deploy, monitor, document, and troubleshoot data pipelines and feature-ready datasets.
- Translate finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows.
What they ask for
- 5+ years of relevant Data Engineering experience.
- Undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline.
- Experience with data engineering in enterprise data warehouse and lakehouse environments.
Nice to have
- Effective Python, shell, and SQL programming; database design and architecture experience with Snowflake and s3.
- Experience with CI/CD and version control tooling such as Jenkins and Git; exposure to AWS, Kubernetes, streaming pipelines, or RESTful interfaces.
Pay
$149,200 and $249,000 (base pay range; USD)
Tools
Python, shell, SQL, Snowflake, s3, Jenkins, Git, AWS
AI focus
Develop data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows; collaborate with data scientists and machine learning engineers.
Model-written summary · the original posting is authoritative