Beaverton, OR

Salary
Posted
Jul 21, 2026
Location
Beaverton, OR
Last confirmed open
Jul 23, 2026

What this job asks for AI summary

A senior individual contributor role focused on building and governing an enterprise data platform built on Azure and Databricks. Day-to-day work involves designing data pipelines, ETL/ELT processes, and data models to support analytics, business intelligence, and machine learning, while also setting engineering standards, evaluating new platform capabilities, and mentoring junior engineers. Suits an experienced data engineer comfortable operating independently and influencing platform architecture decisions.

Senior level · 5+ years · Full-time

Must have (7)
DatabricksApache SparkPythonSQLAzure Data Lake StorageDelta LakeCI/CD
Nice to have (6)
Unity CatalogDatabricks WorkflowsDelta Live TablesStructured StreamingKafka or Azure Event HubsPower BI

“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

What won't set you apart
SQL90%Python55%CI/CD45%Databricks42%

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).

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 (5)

No work location or city is specified in the posting; CBSA and state are left blank. The mention of 'onsite fitness equipment at both locations' suggests an in-office or hybrid arrangement, so remote is set to false.

The role sits at the boundary between data/pipeline architecture (15-1243) and software development (15-1252); the emphasis on platform governance, data modeling, and enterprise data architecture tips it toward 15-1243, but the heavy pipeline-building and CI/CD coding work makes 15-1252 a credible alternative.

Kafka and Azure Event Hubs are listed together as interchangeable options under Preferred Qualifications.

Delta Live Tables is also referred to in the posting as 'Spark Declarative Pipelines'; both names refer to the same Databricks feature.

No compensation figures are provided in the posting.

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