Brillio · Seattle, WAremote

Salary
$249,600–$260,000
Posted
Jul 21, 2026
Location
Seattle, WA
Last confirmed open
Jul 24, 2026

What this job asks for AI summary

A data engineering role focused on building and maintaining large-scale data pipelines, ETL processes, and data models within a game studio environment. The work spans real-time and batch processing on lakehouse and warehouse analytics systems, using tools such as Databricks, Azure Synapse Analytics, and Data Factory. The role suits an experienced data engineer with a strong SQL and big data background who is comfortable working on Azure-based cloud infrastructure.

Senior level · 5+ years

Must have (11)
SQL · 5+ yrsETL · 5+ yrsSpark · 3+ yrsData Lake · 3+ yrsParquetAzure · 2+ yrsAKSAzure Event HubsAzure DevOpsCosmos DBAzure Functions
Nice to have (6)
DatabricksAzure Synapse AnalyticsAzure Data FactoryAzure Data ExplorerDelta LakeLLMs

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 gives you an edge
Azure Event Hubs3%Cosmos DB4%Azure Functions8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL90%ETL62%

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 is left blank. The role is placed at a client (Turn 10 Studios) but no geographic detail is given.

The 'Primary Skills' block (AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions) appears to be Brillio's internal taxonomy/staffing metadata rather than requirements stated in the client-facing job description body. They are captured as required given their placement in a primary-skills header, but hiring managers should verify these are genuine hard gates for the Turn 10 Studios engagement.

Azure is listed as 'highly preferred' in the qualifications body, but given the entire stack is Azure-native and it is the only cloud platform mentioned, it is treated as a hard gate. The 2+ years figure is taken from the qualifications section.

Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Data Explorer, Delta Lake, and LLMs/RAG appear in narrative context or the explicit 'Preferred' section and are marked accordingly.

The role is classified as a data pipeline/architecture role (15-1243) rather than general software development, though the pipeline-building emphasis creates some ambiguity with 15-1252.

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