$230,000–$300,000
FDE and deployment jobs asking for implementation and data engineering experience in SF Bay Area
171 postings · 107 companies · 138 with pay · median $204,000 · middle half $175,000–$234,000 · read
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LocationSF Bay Area
Pay
Postings without pay are hidden.
Remote
Work
Level
Our reading of the role, not the employer’s title. Junior: guided work; Mid: independent delivery; Senior: leads an ambiguous project through production; Staff+: leads across teams or projects.
BackgroundImplementation and data engineering
The experience the posting asks you to arrive with, in the employer’s own words, not our reading of the job. A posting that states no experience requirement is in none of these, and neither is one asking for experience outside the five.
Years
Postings that ask for that many years or fewer, plus postings that state no requirement. The kind of experience still matters.
Posted
Travel
Postings that do not mention travel are treated as no travel, so they are left out of 25% or more.
Individual contributor or manager
Company stage
Coding work
Project stages
Implementation share
Estimated from the job description, not measured working hours.
Who you build for
Visa sponsorship
Company size
Estimated from public information about the company. Bands are approximate. Companies without a stated size are listed as not stated.
171 jobs match
SF Bay Area
171 jobs match
Pay
Postings without pay are hidden.
171 jobs match
Remote
171 jobs match
Work
171 jobs match
Level
Our reading of the role, not the employer’s title. Junior: guided work; Mid: independent delivery; Senior: leads an ambiguous project through production; Staff+: leads across teams or projects.
171 jobs match
Implementation and data engineering
The experience the posting asks you to arrive with, in the employer’s own words, not our reading of the job. A posting that states no experience requirement is in none of these, and neither is one asking for experience outside the five.
171 jobs match
Years
Postings that ask for that many years or fewer, plus postings that state no requirement. The kind of experience still matters.
171 jobs match
Posted
171 jobs match
Pay not posted
$182,000–$250,208
Forward Deployed Software Engineer, Gov
San Francisco, CA · Washington, DC · +1 moreSan Francisco, CA +2Hybrid
$145,800–$280,000
Senior Data Scientist (Forward Deployed)
San Francisco, CA · New York, NYSan Francisco, CA +1Hybrid
$193,000–$250,000
$182,000–$250,208
$182,000–$250,208
Forward Deployed Engineer Manager
Mountain View, CA · Chicago, IL · +38 moreMountain View, CA +39
$80,400–$316,300
Palantir Forward Deployed Engineer -Assoc Director
Mountain View, CA · Chicago, IL · +39 moreMountain View, CA +40
$138,800–$434,000
Partner Engineer, Payments & Financial Technologies
Menlo Park, CA · New York, NY · +1 moreMenlo Park, CA +2
$149,000–$210,000
$195,000–$215,000
Staff Solutions Engineer - FDSE Public Sector - Splunk (Remote)
San Jose, CA · Reston, VA · +6 moreSan Jose, CA +7Remote
$246,800–$394,300
Technical Commerce & AI Consultant | Agentic Commerce
Mountain View, CA · Chicago, IL · +40 moreMountain View, CA +41
Pay not posted
From $105,000
Senior Software / Data Engineer
San Francisco, CA · Los Angeles, CASan Francisco, CA +1Hybrid
$170,000–$210,000
Pay not posted
Infrastructure Engineer, Customer Delivery
San Francisco, CA · New York, NYSan Francisco, CA +1Hybrid
$200,000–$250,000
Avathon (formerly SparkCognition)
Engineering Lead, Product Lifecycle Management (PLM)
Pleasanton, CAOn-site
$160,000–$220,000
Staff Applied AI Engineer - Enterprise AI Solutions
San Francisco, CA · New York, NY · US remoteSan Francisco, CA +1 · US remoteRemote
$230,000–$360,000
$166,500–$291,400
Sr. Delivery Consultant - AI/ML, WWPS ProServe
San Francisco, CA · Jersey City, NJ · +6 moreSan Francisco, CA +7
$153,600–$239,000
$207,000–$300,000
Pay not posted
$190,900–$334,100
$180,000–$210,000
Senior MLOps Engineer - DSX Enablement
Santa Clara, CA · Seattle, WA · US remoteSanta Clara, CA +1 · US remoteRemote
$184,000–$356,500
$150,000–$290,000
$125,000–$175,000
$250,000–$330,000
$184,000–$287,500
Senior Applied AI Engineer/Architect
San Francisco, CA · Boston, MA · +7 moreSan Francisco, CA +8
$225,000–$304,200
Delivery Consultant- AI/ML, WWPS ProServe
Mountain View, CA · Jersey City, NJ · +8 moreMountain View, CA +9
$131,300–$204,300
$108,000–$170,000
$224,000–$431,250
$150,000–$190,000
Pay not posted
Pay not posted
Pay not posted
$125,000–$175,000
Senior Data Scientist (US)
San Francisco, CA · New York, NY · +1 moreSan Francisco, CA +2
Pay not posted
82 of these 171 jobs build what the customer runs.
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Frequently asked questions
What do FDE and deployment jobs asking for implementation and data engineering experience in SF Bay Area pay?
138 of 171 postings state a pay range. The median is $204,000, and half of them sit between $175,000 and $234,000, from 81 companies.
How much experience do FDE and deployment jobs asking for implementation and data engineering experience in SF Bay Area require?
Of 171 postings, 123 state a minimum number of years, from 93 companies. The most common requirement is 3 to 5 years, in 54 of them. The rest ask for 6 to 9 years (44), under 3 years (18) or 10 or more years (7).
Which companies are hiring for FDE and deployment jobs asking for implementation and data engineering experience in SF Bay Area?
These 171 postings come from 107 companies. The employers with the most postings are Databricks (11), OpenAI (10), Accenture (8), Salesforce (7) and Avathon (formerly SparkCognition) (5).
Are FDE and deployment jobs asking for implementation and data engineering experience in SF Bay Area remote?
22 postings allow remote work from the US. Another 63 are hybrid and 29 are on-site. The remaining 57 say nothing about arrangement. Travel is mentioned in 84 of the 171 postings.
Counted over the 171 postings in this search.
Employer postings · Locations cover the metro area, not only the city. The background is what the posting asks for in the employer’s own words. Postings that state no experience requirement, or ask for experience outside the five we list, are left out. · How we read postings