Databricks Data Engineer jobs
Databricks hires the engineers who build the pipeline tooling, not titled data engineers.
The Software Engineer, Distributed Data Systems role
Databricks sells the data-engineering stack (Spark, Delta, Lakeflow Pipelines), so its US data-platform seats are product engineers building the runtime, storage and pipeline services rather than internal ETL builders. Reqs skew Senior and Staff, JVM/C++ and distributed-systems heavy, in SF, Mountain View, Bellevue and NYC. Customer-facing data-engineering roles (Specialist Solutions Architect, Forward Deployed Engineer) are tracked on The FDE List instead.
No dedicated internal data-engineer ladder: pipeline and data-platform work sits in product SWE teams building Spark, Delta Lake, Lakeflow Pipelines and Unity Catalog; levels.fyi tags Data Engineer on the software-engineer ladder (L3–L9) with zero Databricks data points, and the 892-req board is dominated by go-to-market roles.
Databricks data engineer salary
Base: the posted ‘Local Pay Range’ on Senior Software Engineer – Distributed Data Systems (San Francisco and Mountain View), read Oct 10, 2026; the Bellevue req posts $157,700–$213,800. It is a Senior-titled product-engineering req because no mid-level or titled data-engineer req is open. All-in: levels.fyi’s Databricks Data Engineer page has no data points, so no total comp figure; for context, the software-engineer track averages $423k at L4 (n=26) and $588k at L5 (n=9).
See how Databricks compares in the full data engineer salary guide →
How Databricks scores
Index score: 73/100. How we rank →
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