Senior Data Engineer

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About Salesforce

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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

As a Senior Data Engineer on our Marketing Operations team, you will tackle the exciting challenge of designing and implementing our core Data Warehouse model. You will work cross-functionally, collaborating with business experts, analytics teams, and other engineering functions to build a scalable data foundation from the ground up.

Your primary mission will be to architect and build robust data pipelines that transform product and corporate system data into critical insights for key stakeholders in Sales, Marketing, Finance, and Customer Success.
 

Your most impactful duties will include:

• Designing, implementing, and building resilient data pipelines that deliver data with measurable quality and adhere to strict SLAs.

• Partnering with data architects, domain experts, and analysts to create a trusted, well-understood data foundation that enables self-service analytics and aligns with business strategy.

• Taking full ownership of the data lifecycle by creating clear documentation for data pipelines and establishing data lineage.
   

Required Skills (Must-Haves):

• 5+ years of professional experience in data engineering, with a strong focus on building large-scale data platforms.

• Proven expertise in Big Data technologies, including Spark, Trino, Iceberg, and the Hadoop framework.

• Strong proficiency in at least one programming language, ideally Python or Java.

• Hands-on experience with core AWS data services (S3, Glue, Lambda, SQS).

• Demonstrated knowledge of Infrastructure-as-Code (IaC) principles and practices.

• Expert-level SQL skills and a solid background in data modeling.
   

Preferred Skills (Nice-to-Haves):

• Hands-on experience with specific IaC tools, especially Terraform.

• Practical experience designing and implementing CI/CD pipelines for automated code deployment (e.g., Jenkins, GitLab CI).

• A Master's degree or higher in Computer Science, Engineering, or a related technical field.

• Experience with broader cloud technologies and multi-cloud environments.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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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.