Databricks Legal Assistant Salaries in Albuquerque, NM | Comparably
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Founded by the creators of Apache Spark, Databricks builds software and hosted services for extracting value from big data. read more
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Databricks Legal Assistant Salaries in Albuquerque, NM

The average Databricks Legal Assistant in Albuquerque, NM earns an estimated $77,924 annually. Databricks' Legal Assistant compensation is $17,761 more than the US average for a Legal Assistant.

In Albuquerque, NM, The Legal Department at Databricks earns $10,557 more on average than the Product Department.

Last updated 6 months ago.

$30k
$36k
$45k
$53k
$106k
$160k
$210k
$77,924
Average Compensation
$77,924
avg. base

Legal Assistant Salaries at Databricks

In Albuquerque, NM, Legal Assistants earn $12,385 more than Paralegals, and $89,489 less than General Counsels.

Corporate Counsel
$185k*
General Counsel
$167k*
Paralegal
$66k*
* estimated salary

Compensation at Databricks by Department

In Albuquerque, NM, The Legal Department averages $10,557 more than the Product Department, and $39,460 less than the Enterprise Risk Department

Enterprise Risk
$184,244 Avg. total comp.
+$39k
Legal
$144,784 Avg. total comp.
Product
$134,227 Avg. total comp.
-$11k

Legal Assistant Compensation by Gender (All Companies)

The average female Legal Assistant at companies similar size to Databricks reported making $70,170, while the average male Legal Assistant at similar sized companies reported making $144,000.

Legal Assistant Compensation by Ethnicity (All Companies)

The average Caucasian Legal Assistant at companies similar size to Databricks reported making $82,826, while the average Hispanic or Latino Legal Assistant at similar sized companies reported making $60,000.

How Legal Assistants at Databricks Rate Their Compensation

The majority of Legal Assistants at Databricks believe they're compensated fairly. 50% of Legal Assistants at Databricks say they receive annual bonuses, and the vast majority (85%) are satisfied with their benefits. See more compensation ratings at Databricks

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