Apple data engineer jobs
- Open jobs
- 60
- First seen in the last 30 days
- 12
- Median days open, by our records
- 79
- Reposted
- 3%
What these jobs say
- Where
- Cupertino, California 17, Shanghai 9, Austin, Texas 8, Sunnyvale, California 8, Hyderabad, Telangana 6, Seattle, Washington 4
- Level
- Junior 1, Senior 19, Principal 1
- Tools named most
- Kafka 7, Spark 6, Iceberg 5, AWS 2, Redis 2, Snowflake 2, Java 1, Kubernetes 1
Teams hiring and what the work is
- Health Research Data team
Define, process, and manage health research data, including data from the Apple Research app, to improve current health features and support applied research with academic partners.
Health Research Data Engineer - Cassandra Integration team
Help evolve Apache Cassandra, the open source distributed database behind many of Apple's iCloud, Media and Apple Store services, at very large scale.
Senior Database Systems Engineer - Device Compute Analytics team, Apple Services Engineering
Build and own the pipelines and table designs for Apple's device and compute data lakehouse, powering forecasting, capacity planning, and internal cross-charging.
Senior Data Engineer - Operations Finance
Build finance data platforms and automation for logistics and supply-chain operations, supporting costing and forecasting work with engineering teams.
Data Engineer, Operations Finance - Sensing & Connectivity
Build tools, services, and data pipelines that support model evaluation across many models and high volumes of evaluation runs.
Software Data Engineer, Sensing & Connectivity - Apple Ads data products team
Build data products and analytics for Apple Ads, turning data into insight that guides business strategy and decisions.
Data Engineer (Data Products - Apple Ads)
The newest 40 of 60 open jobs
Counts cover every open data engineer job we read from Apple's own careers site, last checked Nov 14, 2026. The role is the one the work describes, whatever the title says. Ages use the day we first saw each job. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system. How we count Report an error