Not specified (assumed to be hybrid based on industry standards).
5+ years data engineering experience
Python and distributed frameworks
Feature store technologies implementation
Salesforce is seeking a Data Engineer to join its Growth & Retention Intelligence team, responsible for designing and implementing data architectures that support machine learning workflows. The ideal candidate will have extensive experience in data engineering, particularly with real-time data processing and feature store technologies
Job Summary
This role involves designing scalable data pipelines to power a machine learning ecosystem with consistent, reliable, and real-time access to features.
Candidates will collaborate closely with data scientists and ML engineers to streamline feature engineering workflows and ensure seamless integration between offline and online data sources.
The position offers the opportunity to work at Salesforce, the #1 AI CRM, driving innovation in the agentic era while contributing to workforce transformation.
Matching Summary
Match Score: 85
Salesforce is seeking a Data Engineer to join its Growth & Retention Intelligence team, responsible for designing and implementing data architectures that support machine learning workflows. The ideal candidate will have extensive experience in data engineering, particularly with real-time data processing and feature store technologies.
Salary
Base: $117,200 - $260,100 annually; Bonus/Equity: Not specified (eligible for incentive compensation and equity); Benefits: Medical, dental, vision, 401(k), paid parental leave, and more
Skills & Requirements
Must-have
5+ years data engineering experience
Python and distributed frameworks
Feature store technologies implementation
Streaming data platforms expertise
Cloud data warehouse and dbt
CI/CD automation and infrastructure-as-code
Nice-to-have
Salesforce ecosystem experience
Context engineering knowledge
Vector or graph database experience
RAG pipeline development
Collaborative mindset and ownership
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
5+ years of experience in data engineering roles
Experience with AWS cloud environments and Terraform
Knowledge of data governance and lineage tracking best practices