GCP Data Engineer Jobs

US data engineer openings whose parsed job description names Google Cloud Platform. About 800 active listings, third behind AWS and Azure in absolute count but the dominant cloud at certain companies (Spotify, Twitter or X, Snap, Reddit, Etsy). BigQuery is the standout supporting tag at about 310 listings.

GCP Data Engineer Jobs

US data engineer listings that name GCP in the posting, scored against your profile with salary and layoff signals.

Frequently asked questions

How many GCP data engineer jobs are listed at once?

Around 800 active listings name GCP in the parsed JD. GCP is third by absolute count after AWS and Azure but is the primary cloud at consumer-internet companies that grew up on Google infrastructure: Spotify, Snap, Reddit, Etsy, and parts of Twitter or X. If those are your target employers, GCP DE roles dominate the relevant subset.

Which GCP data services show up most in these jobs?

BigQuery (about 310 listings) is the standout, often listed as the warehouse layer even when the rest of the stack is multi-cloud. Composer (managed Airflow) is the dominant orchestrator. Dataflow (managed Beam) and Pub/Sub show up at companies running streaming pipelines. Dataproc (managed Spark and Hadoop) is the legacy choice, declining in favor of BigQuery-native processing.

How does BigQuery experience translate to GCP data engineer interviews?

Deeply. BigQuery's slot-based pricing model, partition pruning, clustering keys, and BI Engine cache all show up as interview questions at companies running BigQuery at scale. The SQL dialect (standard SQL, with QUALIFY, structs, and array functions) differs from Postgres in ways that surface in coding rounds; practice with the BigQuery sandbox before the interview.

Is the Google Cloud Professional Data Engineer cert worth pursuing?

Useful at consulting partners (Deloitte, Accenture's Google practice) and for resume screens at GCP-aligned companies. For hands-on interviews, a portfolio project on BigQuery (public dataset, transform with dbt or BigQuery scheduled queries, visualize with Looker Studio) carries more weight. The cert exam tests breadth (Dataflow, Pub/Sub, Dataproc, Composer, BigTable) more than depth.

What's the typical GCP stack for the data engineer jobs in this catalog?

Two common shapes. BigQuery-centric: GCS plus dbt plus BigQuery plus Looker. Streaming: Pub/Sub plus Dataflow plus BigQuery. Composer (managed Airflow) sits across both as the orchestrator. Some companies bridge with Databricks-on-GCP for Spark workloads that do not fit BigQuery's pricing model.

How do GCP data engineer salaries compare to AWS and Azure roles?

Slightly higher on average, weighted by the consumer-internet companies that dominate the GCP-using subset (Snap, Reddit, Spotify, plus Google itself when Google posts via the catalog). Google's L4 SWE-Data band exceeds Amazon's L5 SDE band on total comp; smaller GCP-using companies sit closer to AWS and Azure equivalents.

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