Databricks Data Engineer II at Deloitte
Seattle, WA
$86,700–$170,900from the description
Jul 17, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining cloud-based data pipelines and platforms using Databricks, Apache Spark, Python, and SQL. Day-to-day work involves designing ingestion, transformation, and storage workflows — both batch and streaming — to support analytics and AI use cases for enterprise clients. Suited to engineers with hands-on Databricks experience who are comfortable working in a client-facing consulting environment with regular travel.
Mid level · 3+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 8 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
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; the role requires 50% travel on average, suggesting client-site consulting work across the US. No CBSA could be determined.
SOC classification is a close call: the role centers on building data pipelines, ETL, and lakehouse architecture (pointing to 15-1243 Database Architects / Data Engineers), but the heavy use of Python and Spark for pipeline development also fits 15-1252 Software Developers. 15-1243 was chosen as the primary because data modeling, integration patterns, and platform architecture are explicitly foregrounded.
The 3+ years overall experience requirement is the binding the overall years minimum; the 2+ years Databricks/Spark/Python/SQL requirement is captured on those individual skills.
Cloud platform experience (AWS, Azure, or GCP) is listed as a required qualification with 'at least one' framing — AWS is used as the primary skill name with Azure and GCP as alternatives.
Delta Lake, Databricks Workflows, Unity Catalog, Git, and CI/CD all appear under the 'Preferred' section.
The compensation range ($86,700–$170,900/year) is explicitly noted as not adjusted for geographic differential.
Read the full posting
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