Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Build data pipelines and models for infrastructure demand and capacity
Build analytical tools covering utilization and cost of cloud infrastructure
Work with engineering, CIBO, Finance, and Procurement on infrastructure planning
build data pipelines, models, and analytical tools that help us understand infrastructure demand, utilization, capacity, and cost
build data pipelines, models, and analytical tools
You will work closely with engineering, CIBO, Finance, and Procurement
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
At Apple, jobs usually come down by about day 39.
From 11,172 similar postings that came down, and 363 of Apple’s. Coming down is not always a hire.
448 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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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Austin
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No clear work-authorization passage found. Eligibility is unconfirmed.