Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Cupertino
Live, first seen by us 18 days agoOwn the data lakehouse fed by device and compute events
Build pipelines and table designs for forecasting and capacity planning
Spot data issues before internal customers notice them
own our data lakehouse: turning a stream of device and compute events into data that is accurate, timely, and easy to explore
You will build the pipelines and table designs that power forecasting, capacity planning, and fair cross-charging across the organization
help us spot issues before an internal customer ever notices them
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Day 18
Similar jobs usually come down between day 6 and day 56.
At Apple, jobs usually come down by about day 48.
From 13,649 similar postings that came down, and 462 of Apple’s. Coming down is not always a hire.
483 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Yes. We’ve followed one other Senior Data Engineer job there since August 2026. It is still up.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Cupertino
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