Principal Data Engineer

Benefits

Parental leave

26 weeks From the posting source

Non-birth-parent leave

12 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$238K-$345K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

160% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Staff Plus From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal Data Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; Georgia - Atlanta Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Agentforce is the future of AI, and you are the future of Salesforce! The Marketing Data Science team within Salesforce's Chief Data Office is seeking an experienced data modeler to build and manage the data model(s) for our Marketing Data Warehouse. This role is crucial for enabling data-driven decisions across Marketing and will be the technical authority for all data modeling efforts, ensuring the warehouse architecture is scalable, high-performing, and accurately reflects the complex relationships within our rich B2B marketing data ecosystem (including campaigns, channels, leads, customer journeys, opportunities, etc.) This role's primary focus is on the practical design, implementation, and optimization of the data models for the Marketing Data Warehouse. It will be responsible for designing and governing the optimal data models that span our complex data environment, hybrid-cloud ecosystem, including Salesforce Data 360 (formerly Data Cloud), Snowflake, Amazon data lakes, multiple Salesforce orgs, Informatica MDM, and graph databases. A key success factor is designing models that serve both analytical reporting and

Read the full description at careers.salesforce.com. FewerJobs shows a preview and links to the original posting.