Cloud Data Engineer at NTT DATA
Nashville, TN
$104,240–$156,360from the description
Jun 28, 2026
Nashville, TN
Jul 21, 2026
What this job asks for AI summary
An on-site data engineering role focused on building and maintaining data pipelines, lakehouse platforms, and cloud-based data solutions for financial services clients. The work centers on Databricks, Snowflake, and AWS services, using Python, PySpark, and SQL to ingest, transform, and analyze data from multiple sources. The role suits an experienced data engineer comfortable collaborating within a small pod team and presenting technical findings to architecture stakeholders.
Senior level · 5+ years · Nashville-Davidson--Murfreesboro--Franklin, TN · Full-time
“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 7 people in the Nashville-Davidson--Murfreesboro--Franklin, TN area plausibly meet what this posting asks for (database architects). range 4–10
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 $121,730 (middle half $84,500–$141,270). 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 (7)
The role is posted for two locations: Nashville, TN and Plano, TX (Dallas–Fort Worth CBSA). The Nashville CBSA is used here as the primary; the Plano/Dallas-Fort Worth CBSA (19100) is an equally valid work site.
The compensation range ($104,240–$156,360/year) is stated as applying to both Nashville, TN and Plano, TX candidates.
Cloud experience is required but the JD accepts AWS, Azure, or GCP — AWS is named first and most prominently throughout the posting; Azure and GCP are captured as alternatives.
Python or Java is listed as a hard requirement; Python is the primary name given its prominence in the responsibilities section (PySpark, Python/SQL), with Java as the alternative.
AWS Glue and Snaplogic appear in the responsibilities narrative as examples of 'Cloud native ETL services (i.e., AWS Glue or Snaplogic)' rather than under a formal requirements heading, so they are treated as preferred/contextual rather than hard gates.
Apache Iceberg, Databricks (standalone), and Dremio are listed explicitly under 'Preferred Technical skills'; Confluence appears only in the sprint-model workflow description — all treated as preferred.
The SOC classification is Medium confidence: the role is primarily a data pipeline/warehouse builder (15-1243 Database Architects) but has substantial software-development characteristics (Python/PySpark coding, CI/CD via Git) that could support 15-1252 Software Developers.
Read the full posting
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