Data Engineering Specialist – AI at Jobgether
$100,000–$150,000from the description
Jul 20, 2026
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Jul 22, 2026
What this job asks for AI summary
A senior data engineering role focused on building and maintaining the large-scale data infrastructure that underpins AI model development. Day-to-day work spans designing ingestion and processing pipelines for multimodal datasets, implementing data quality, versioning, and lineage systems, and optimizing storage and data-loading architectures for GPU-based training. The role suits an experienced engineer with a strong background in distributed data systems and machine learning workflows.
Senior level · 6+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 4,500 people nationally plausibly meet what this posting asks for (database architects). range 1,300–8,100
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role title is 'Data Engineering Specialist – AI' with no seniority level in the title; the title states no level. The 6+ years requirement and scope of responsibilities (designing large-scale AI data infrastructure end-to-end) support a Senior classification.
SOC classification is a genuine judgment call: the role centers on designing and building large-scale data pipelines and storage architectures (pointing to 15-1243 Database/Data Architects), but also involves substantial software engineering (Python, Spark, CI/CD, distributed systems) that could place it at 15-1252 Software Developers. 15-1243 was chosen as the primary because the dominant focus is data infrastructure design, pipeline architecture, and data modeling rather than general application development.
The JD requires a Bachelor's or Master's degree but explicitly lists both as acceptable options with no stated minimum between them, and no 'or equivalent experience' language. However, since either degree level satisfies the requirement, the minimum hard-required degree is a Bachelor's — but the phrasing 'Bachelor's or Master's' is treated as a preference range rather than a strict gate, so the degree requirement is set to None per the schema guidance (equivalent experience is implicitly accepted when both levels are listed without a hard floor).
Spark, Ray, and Apache Beam are listed as interchangeable examples ('such as Spark, Ray, or Beam') under the requirements section; Spark is used as the primary name with Ray and Beam as alternatives.
A JVM-based or systems programming language (e.g. Java, Scala, Go, Rust) is required alongside Python but no specific language is named, so no separate skill entry is emitted (no concrete named technology to capture).
Multimodal datasets, data quality tooling, privacy-preserving data systems, and open-source data infrastructure contributions are all listed under preferred/nice-to-have language ('preferred', 'a plus', 'beneficial').
This posting is listed via Jobgether on behalf of an unnamed partner company; the actual employer is not disclosed.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): privacy-preserving data systems, open-source data infrastructure.
Read the full posting
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