Time since we first saw it
Day 22
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.
Bengaluru
Live, first seen by us 22 days agoThe Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books — at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success — running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Trino, Druid, Notebooks, and LLM-based agent platforms reliable at scale.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 22
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.
Check the employer’s posting for the current role and application details.
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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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No pay amount identified in the saved description.
Bengaluru
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No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting