Lead Data Engineer (P4519) at 84.51°
Cincinnati, OH
$125,000–$207,000
Jul 6, 2026
Cincinnati, OH
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor and team-leadership role focused on designing and building large-scale data pipelines on Azure, primarily using Databricks, PySpark, and Python. Day-to-day work spans ingesting and transforming petabyte-scale retail data, developing REST APIs on Kubernetes, setting technical direction alongside Data Science and Product teams, and mentoring junior and offshore engineers. Suited to experienced data engineers with a strong Spark background who are comfortable owning features end-to-end.
Senior level · 5+ years · Cincinnati, OH-KY-IN · Bachelor's required · Full-time
Pay in the description: $125,000–$207,000
“or” means any one of them counts — you don't need all of them.
Posted 2 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 4 people in the Cincinnati, OH-KY-IN area plausibly meet what this posting asks for (database architects). range 2–6
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 $137,437 (middle half $128,219–$163,866). 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 title 'Lead Data Engineer' carries no explicit seniority level word (Junior/Mid/Senior/Staff/Principal), so advertised seniority is Unspecified; however, the requirements (5+ years experience, team oversight, technical strategy-setting, mentoring) support a Senior classification.
The role sits between data pipeline/architecture (15-1243) and general software development (15-1252): it builds ETL/big-data pipelines on Databricks but also develops REST APIs hosted in Kubernetes. Data engineering and pipeline architecture is the primary framing, making 15-1243 the best fit, with 15-1252 as a close runner-up.
The posting states a 5-day in-office schedule, so remote=false. The company is headquartered in Cincinnati, OH (84.51° / Kroger), used as the primary location; no other city is specified.
The salary range ($125K–$207K) is explicitly described as spanning all geographic markets from lowest to highest; actual offers will vary by location.
Agile/Scrum is listed in the qualifications section with firm language ('Strong understanding of Agile Principles') but names no specific tool, so it is captured as a required skill at the methodology level.
JSON and Databricks Workflows appear in the role summary as stack context rather than in the formal qualifications block, so they are treated as preferred rather than hard gates.
Read the full posting
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