Sr Databricks Data Engineer at Deloitte
Denver, CO
$116,200–$229,100from the description
Jul 15, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on designing, building, and maintaining Databricks-based solutions on major cloud platforms for large enterprise clients. Day-to-day work spans pipeline development, Lakehouse architecture, data governance, and CI/CD automation, with responsibility for leading cross-functional engineering teams. Suits an experienced data engineer with deep Databricks and Apache Spark expertise who is comfortable guiding technical teams and engaging with senior stakeholders.
Senior level · 5+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 5 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
Rare in this occupation — lead with these, and say what you built with them.
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)
No specific work location is stated in the posting; the role is client-facing with 50% travel required, suggesting candidates may be based anywhere in the US. No CBSA could be determined.
The title 'Databricks Engineer III' carries a numeric level but Deloitte's internal 'III' does not map cleanly to a standard career-ladder level; it is treated as Unspecified for advertised seniority since it is an internal grade rather than a public-facing level word (Junior/Mid/Senior/etc.).
SOC classification is Medium confidence: the role is primarily data pipeline and Lakehouse architecture design (15-1243 Database Architects), but the heavy emphasis on writing PySpark/Databricks code and building pipelines also fits 15-1252 Software Developers.
The required qualifications list Azure DevOps alongside AWS CodePipeline, Jenkins, TFS, and PowerShell as interchangeable CI/CD tooling options ('such as'), so all are captured as alternatives under a single skill.
A Master's degree is listed under Preferred, not Required; the hard minimum is a Bachelor's degree.
The compensation range ($116,200–$229,100/year) is explicitly noted as not adjusted for geographic differential, so actual pay will vary by location.
Read the full posting
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