Principal Data/AI Engineering
AT&T Services, Inc. · USA:GA:Atlanta / 1025 Lenox Park Blvd Ne - Adm:1025 Lenox Park Blvd Ne
$155,400–$261,100from the description
Jun 30, 2026
USA:GA:Atlanta / 1025 Lenox Park Blvd Ne - Adm:1025 Lenox Park Blvd Ne
Jul 20, 2026
What this job asks for AI summary
A senior individual-contributor role focused on designing, building, and optimizing data and AI systems — including pipelines, microservices, and APIs — using technologies such as Spark, Kafka, Databricks, Snowflake, and cloud platforms. The position involves leading high-impact engineering projects with minimal supervision, influencing senior leadership, and mentoring others. Suited to an experienced data/AI engineer with 7+ years of relevant background.
Senior level · 7+ years · Remote · Full-time
Advertised as Principal, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
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 1,600 people nationally plausibly meet what this posting asks for (database architects). range 970–2,400
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 (6)
The job posting explicitly states 'office presence of a minimum of 5 days per week' and lists physical office locations (Alpharetta GA, Atlanta GA, Dallas TX, Plano TX). The caller has overridden this to remote=true and suppressed metro inference; the extracted data reflects that instruction, not the posting itself.
The title is 'Principal Data/AI Engineering' but the actual scope — 7+ years required, no org-wide authority described, no direct reports — is consistent with a Senior individual contributor rather than a true Principal-band role. The level advertised in the title reflects the title; seniority reflects the requirements.
The degree requirement is stated as 'desired' (not required), so it is treated as preferred rather than a hard gate.
Technologies are listed under an inline 'Technologies' bullet using 'e.g.' qualifiers, but the closing paragraph explicitly calls out 'Data engineering skills, Databricks and Python, Azure' as hard requirements, anchoring those three as must-have. The broader technology list (Spark, Kafka, Snowflake, Java/Scala, SQL, REST/GraphQL) appears in the main responsibilities/technologies section and is treated as required given the firm 'Demonstrate expertise' framing.
SOC is a close call between 15-1243 (Database/Data Architects — pipeline and data model design) and 15-1252 (Software Developers — microservice/API/application engineering). The role spans both; 15-1243 is chosen as primary because data architecture, pipelines, and AI/data platform work are the dominant framing, with 15-1252 as the runner-up.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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