Senior Data Engineer (P1692) at 84.51°
Cincinnati, OH
$98,000–$169,050
Jul 5, 2026
Cincinnati, OH
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining big data pipelines using Databricks, PySpark, and Python within scrum teams. The work centers on ingesting, storing, and distributing large-scale retail data to power personalization products, with responsibilities spanning design, automated testing, and mentoring junior engineers. Suited to engineers with solid ETL, data warehousing, and cloud-based development experience.
Mid level · 3+ years · Cincinnati, OH-KY-IN · Bachelor's required · Full-time
Pay in the description: $98,000–$169,050
“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 10 people in the Cincinnati, OH-KY-IN area plausibly meet what this posting asks for (database architects). range 7–15
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 (9)
The role title is 'Data Developer' with a focus on ingesting, storing, and distributing big data using Databricks, Spark, and ETL/pipeline patterns — placing it between 15-1243 (Database/Data Architects, pipeline/warehouse building) and 15-1252 (Software Developers, given the full SDLC ownership, unit testing, and service development responsibilities). 15-1243 was chosen as primary given the dominant data engineering framing.
The posting states a 5-day in-office schedule, so remote=false.
The salary range ($98,000–$169,050) is described as spanning all geographic markets from lowest to highest; actual offers will vary by location.
Python and Java are listed as interchangeable alternatives ('either Python or Java'); Python is named first and is also mentioned independently in the summary, so it is the primary skill with Java as an alternative.
Pipeline Orchestration and ETL/Data Warehousing concepts appear in the required section but name no specific tool, so they are not emitted as skills.
Delta Lake, Delta Tables, and Delta Live Tables are all Databricks Delta Lake features; consolidated under 'Delta Lake' as the canonical product name.
AKS, Kubernetes, and Helm are listed together as a single preferred item; Kubernetes is the canonical name with AKS and Helm noted as alternatives.
Kafka and Azure Event Hub are listed as a single preferred item ('Kafka and/or Azure Event Hub'); Kafka is primary with Azure Event Hub as an alternative.
The Bachelor's degree requirement lists specific fields (CS, MIS, Mathematics, Business Analytics, or STEM) but does not offer an 'or equivalent experience' escape, so the degree requirement is set to Bachelors.
Read the full posting
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