Join Our Team as a Data Engineer at Salesforce

Job Category: Software Engineering

Location: Office Hybrid - San Francisco, CA

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 groundbreaking ways. As a part of our team, you'll become a Trailblazer too — driving your performance and career growth, while contributing to bettering the world. If you're passionate about leveraging business as a change agent, then you're in the right place.

Data Engineer - Multiple Levels

Are you currently in school or graduated within the last 12 months? Explore opportunities at .

Salesforce is undergoing a Digital Transformation aimed at delivering customer success and accelerating growth. A critical element of this transformation involves building data platforms and automated data pipelines to generate data-driven insights and recommendations that spur growth within our marketing department.

Role Overview

We are seeking a Data Engineer experienced in creating data pipelines and metrics for Sales or Marketing teams. In this role, you will collaborate with marketing stakeholders to understand business needs, translate those needs into technical requirements, and design automated data pipelines to derive actionable insights. You'll also work with internal tech groups to streamline the data collection and definition processes.

Responsibilities include:

• Designing, developing, and maintaining scalable data pipelines and ETL processes.
• Collaborating with Data Scientists and Analysts to implement data solutions.
• Building and optimizing data models and databases (relational, NoSQL).
• Implementing data governance practices.
• Monitoring and troubleshooting data pipelines and infrastructure performance.
• Integrating new data sources and APIs into existing pipelines.
• Partnering with Product Managers and Data Scientists to translate customer requirements into prototypes and production-ready systems.

Required Skills and Experience

• 6+ years in data engineering, data modeling, automation, and analytics.
• Expertise in data engineering concepts, database design, system components, and internal processes.
• Experience with complex ETL tools (Mulesoft, Jitterbit, Informatica).
• Proficiency in building data pipelines using AWS Lambdas, Airflow, etc.
• Strong RDBMS, data structure, and distributed data processing knowledge.
• Hands-on experience with SQL, Bash, and Python scripting.
• Experience with DBT, Airflow, and Snowflake is required.
• Knowledge of Salesforce development stack (Flows, Apex) is a plus.
• Bachelor's degree in a related technical field.

Preferred Skills and Experience

• Experience with AWS Lambdas for real-time pipeline triggers using platform events.
• Background in Sales and Marketing technology and data.
• Hands-on expertise with Salesforce Data Cloud.
• Experience in complex event-driven architectures and stream processing technologies.

Additional Information

• If you require accommodation due to a disability, please submit a request through our .
• Make sure to include a link to your Github, a brief description of your skills, interests, work style, and a link to your blog or webpage with your application.

Equal Opportunity and Affirmative Action Employer

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Learn more about Equality at and explore our company benefits at .

We welcome all candidates, and pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring, we'll consider qualified applicants with arrest and conviction records.