28 data and analytics jobs are open in San Jose, CA area, on employers' own career pages, from 13 employers. The three employers with the most openings are DoorDash USA, Adobe and Databricks, with 11 of the 28. 68 percent of these postings list a pay range. The middle half of listed pay runs from $165,000 to $227,650, with a median of $184,750. The places with the most are San Francisco, CA (8); San Jose, CA (6); Mountain View, CA (4). 7 percent are fully remote. A typical posting has been open 27 days.
This page covers the San Jose-Sunnyvale-Santa Clara, CA metro area as defined by the U.S. Census Bureau. It includes San Francisco, CA; San Jose, CA; Mountain View, CA, and 2 other places.
California requires employers to list a pay range in many postings, so the pay figures here come from the employers' own ranges.
Applications here go through Greenhouse (55%), Workday (34%), SmartRecruiters (10%).
Open data and analytics jobs
Adobe
Posted Oct 7
Senior Data Scientist, ML— Fraud Prevention
$133,100 to $236,400 a yearSeen today
We are seeking an experienced Senior Machine Learning Data Scientist to build fraud and abuse detection models and measure how effectively they work.
Adobe
Posted Oct 6
Sr. Director, AI, Data Science & Engineering
$211,600 to $436,975 a year76% above the median listed hereSeen today
We are seeking a Senior Director of AI, Data Science & Engineering to lead the technical organization responsible for building the next generation of…
General Motors
Sunnyvale, CA · Posted Oct 5
Senior Data Scientist, AV and ADAS Insights
$106,600 to $192,700 a year19% below the median listed hereSeen today
As a S enior Data Scientist , S uper Cruise (SC) and Assisted Driving and Active Safety ( ADAS ) Insights, you will be a hands-on technical and strategic…
LinkedIn
Sunnyvale, CA · Posted Oct 1
AI Architect - SaaS GTM Tech & Analytics | IC4
$141,000 to $231,000 a yearSeen today
This role will be based in San Francisco, Sunnyvale, New York City, or Chicago
Pinterest
San Francisco, CA and 2 more places · Posted Oct 1
Master's University Grad Data Scientist (USA)
$124,950 to $168,000 a year21% below the median listed hereSeen today
By applying to this role, you will be considered for multiple roles open across our various data science teams.
DoorDash USA
San Francisco, CA and 4 more places · Posted Sep 21
Manager, Analytics, Customer Experience
$184,300 to $271,000 a year23% above the median listed hereSeen today
We are looking for a Manager to lead and grow the analytics team behind our core support experience.
Adobe
Posted Sep 18
Senior Data Scientist, GTM Data Science
$133,100 to $236,400 a yearSeen today
We are looking for an experienced Data Scientist to join Adobe’s Go-To-Market (GTM) Data Science & Analytics team.
LinkedIn
Mountain View, CA · Posted Sep 16
Staff Data Scientist
$149,000 to $245,000 a year7% above the median listed hereSeen today
This role is based in Mountain View, CA.
Veeam Software
San Jose, CA · Posted Sep 14
Senior Engineer - Hyperscale Analytics
$234,840 to $436,080 a year82% above the median listed hereSeen today
We are seeking exceptional Senior Engineer- Hyperscale Analytics to design and scale next-generation data processing and analytics platforms that power OLTP,…
LinkedIn
Sunnyvale, CA · Posted Aug 25
Senior Data Scientist
$125,000 to $205,000 a year11% below the median listed hereSeen todayOpen 54 days
The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business…
DoorDash USA
San Francisco, CA and 4 more places · Posted Aug 12
Senior Manager, Core Consumer Analytics
$219,700 to $323,000 a year47% above the median listed hereSeen todayOpen 68 days
We are looking for an Analytics Senior Manager to lead our Discovery team.
DoorDash USA
San Francisco, CA and 5 more places · Posted Jun 9
Data Analyst, In-Store
$98,600 to $145,000 a year34% below the median listed hereSeen todayOpen 131 days
We're hiring a Data Analyst to be the data partner for our Product Management, Product Marketing, and executive teams at SevenRooms.
Databricks
Mountain View, CA and 1 more place · Posted May 27
Senior Data Scientist
$123,200 to $218,000 a year8% below the median listed hereSeen todayOpen 144 days
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges.
Roku
San Jose, CA · Posted May 11
Senior Data Scientist
$159,900 to $204,300 a yearSeen todayOpen 160 days
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander.
DoorDash USA
San Francisco, CA and 5 more places · Posted May 7
Sr. Business Intelligence Engineer
$118,300 to $174,000 a year21% below the median listed hereSeen todayOpen 164 days
In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends…
DoorDash USA
San Francisco, CA and 4 more places · Posted Apr 14
Manager, Data Science
$184,300 to $271,000 a year23% above the median listed hereSeen todayOpen 187 days
We’re hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions.
Databricks
Mountain View, CA · Posted Nov 18
Senior Manager, Infrastructure Data Science
$228,600 to $314,250 a year47% above the median listed hereSeen todayOpen 699 days
Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science.
Databricks
Mountain View, CA · Posted Dec 19
Staff Data Scientist - Infrastructure
$192,000 to $260,000 a year22% above the median listed hereSeen todayOpen 1034 days
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company.
Places covered
| Place | Open jobs |
|---|---|
| San Francisco, CA | 8 |
| San Jose, CA | 6 |
| Mountain View, CA | 4 |
| Sunnyvale, CA | 4 |
| Santa Clara, CA | 1 |
Places with their own page link to it.
Who is hiring data and analytics in San Jose, CA area
| Employer | Open jobs | Typical posted pay |
|---|---|---|
| DoorDash USA | 5 | $227,650 |
| Adobe | 3 | |
| Databricks | 3 | |
| 3 | ||
| 3 | ||
| General Motors | 2 | |
| PayPal | 2 | |
| Veeam Software | 2 |
Counts are open postings on each employer's own career page. Staffing firms and job boards are left out.
How to apply
- Open the job from the list and read the requirements and the pay line.
- Check what the posting asks you to bring (resume, cover letter, questions).
- Apply on the employer's site.
- Keep a note of where you applied.
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How many data and analytics jobs are open in San Jose, CA area?
28 on Oct 18, 2026, from 13 employers, read from employers' own career pages. The number changes as employers post and close roles.
Which places around San Jose, CA have the most data and analytics jobs?
San Francisco, CA (8); San Jose, CA (6); Mountain View, CA (4).
How much do data and analytics jobs in San Jose, CA area pay?
68 percent of postings list a pay range. The median listed pay is $184,750 and the middle half runs from $165,000 to $227,650. A listed range is the employer's budget for the role, not an offer. California requires employers to list a range in many postings.
Which employers are hiring data and analytics in San Jose, CA area?
The employers with the most openings are DoorDash USA (5), Adobe (3), Databricks (3). The full list is above.
How long do these postings stay open?
A typical posting has been open 27 days, and 31 percent have been open more than 60 days. An old posting is not always a closed one.
How do I apply?
Each job links to the employer's own application page. Open the posting, read the requirements and apply there. If you want a score for how well your resume matches a job, create a free Second Summit account and we score it with the reasons.
Where does this list come from?
We read employers' own career pages and USAJOBS. We do not list jobs from job boards or search services, and we do not estimate pay.