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Job Category Software Engineering

Job Details

About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Senior/Lead/Principal Data Engineer

Office hybrid in San Francisco, Dallas or Seattle

About the Role We're building the

product data platform

that will power Salesforce's next era of

agentic intelligence

- delivering smarter, adaptive, and self-optimizing product experiences.

As a

Full-Stack Data Engineer , you'll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents. You'll work on:

Near real-time and batch telemetry pipelines for trusted signal capture Semantic layers and data products for reusable insights Programmatic discovery via metadata, MCP, and knowledge graphs

This isn't a typical data engineering role. We're looking for

creative, systems-minded engineers

working outside of the "data engineer" box, fluent in both

data and AI , and excited to navigate ambiguity, cross boundaries, and drive real impact.

What You'll Do Build and scale fault tolerant

batch and streaming data pipelines

using Spark, Trino, Flink, Kafka, DBT Design

programmatic consumption layers

to make product signals easy to define, discover, and reuse Apply

software engineering best practices

to data systems: testing, CI/CD, observability Evolve systems to support not just human analysis, but

autonomous agent reasoning Contribute to a

trusted data foundation

powering decisions, AI agents, and adaptive products Collaborate

across orgs

with telemetry engineers, product leaders, data scientists, and AI builders

What We're Looking For 5+ years of experience in

data engineering , with strong

software engineering fundamentals Expertise with

big data frameworks : Spark, Trino/Presto, DBT Experience with

streaming systems

like

Flink

and

Kafka , incl. distribution strategy (topics & partitions) Solid understanding of

semantic layers ,

data modeling , and

metrics systems Experience with

cloud infrastructure , particularly

AWS (e.g., S3, EMR, ECS, IAM), Containerization Bonus: fluency in

AI data engineering

patterns and tools like MCP Bonus: experience with

knowledge graphs

and

modern metadata systems Bonus: experience with

Snowflake Strong

communicator

and

collaborator

- comfortable working across teams and domains Curious, pragmatic, and

impact-driven mindset

Why Join Us Help shape how Salesforce leads the digital labor revolution. You'll be at the heart of transforming raw product signals into intelligent decisions - for everyone from engineers to sales reps to AI agents. If you're excited to design resilient, trusted, and intelligent systems at scale, we'd love to hear from you.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For Washington-based roles, the base salary hiring range for this position is $157,600 to $306,600.

For California-based roles, the base salary hiring range for this position is $172,000 to $334,600. #J-18808-Ljbffr