Salesforce.Com Inc
Senior/Lead/Principal Data Engineer
Salesforce.Com Inc, San Francisco, California, United States, 94199
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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 RoleWe'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 If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. 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.
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 RoleWe'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 If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. 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.