Insight Global · Los Angeles, CAremote

Salary
Posted
Jul 22, 2026
Location
Los Angeles, CA
Last confirmed open
Jul 23, 2026

What this job asks for AI summary

A senior data engineering role embedded in a cross-functional team at an entertainment company, split primarily between maintaining and building data pipelines, creating data models with DBT and Medallion architecture, and conducting root-cause analysis on data issues. The remaining time covers data infrastructure design and light AI/ML support. The work is heavily hands-on, requiring deep experience with GCP services, BigQuery, Python, SQL, and ERD architecture in large-scale Big Data environments.

Senior level · 10+ years

Must have (10)
PythonSQLGCPBigQueryCloud FunctionsCloud ComposerVertex AIIAMdbtERD

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
Vertex AI3%IAM7%GCP13%

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

What won't set you apart
SQL90%Python55%

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 is specified in the posting; CBSA and state are left blank. The role is staffed through Insight Global for an unnamed entertainment client.

The title 'Data Engineer' appears in the posting framing, but the requirements gate on '10+ years in a Data Architect role' with Big Data environments of 100TB+, which drives the SOC toward 15-1243 (Database Architects). The runner-up 15-1252 (Software Developers) reflects the heavy hands-on Python/SQL pipeline development emphasis (~80% of time).

The 10+ years figure is stated at the role level ('10+ years in a Data Architect role') and is captured as the overall experience minimum; no per-technology year counts are given.

All skills are drawn from the explicit 'Skills and Requirements' section and are treated as hard gates. GCS appears twice in the posting (once as 'GCS Buckets' and once as 'Google Cloud Storage (GCS)') — consolidated into a single 'GCS' skill.

Employment type is not stated; the posting is placed by a staffing firm (Insight Global) but does not explicitly label the engagement as contract or full-time.

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