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Job Category
Software EngineeringJob Details
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.
Salesforce’s Employee Success (ES) Product Management team is advancing AI-driven data initiatives to expand our data capabilities across all ES functions. A key priority is developing a robust data and AI foundation to support innovation, automation, and data-driven decision-making.
We are seeking a motivated Data Engineer to join our team and help build and maintain the data foundations that power ES analytics and AI-driven agents. You will support the development of data pipelines, assist in data modeling efforts, and help ensure data quality across our Snowflake and Data360 environments. Working alongside senior engineers and ES business partners, you will learn to translate functional requirements into technical solutions while gaining hands-on experience with modern data engineering tools and practices. This is an excellent opportunity for someone early in their career who wants to grow their skills in a fast-paced environment at the intersection of data engineering, people analytics, and AI.
Key Responsibilities
Data Engineering: Develop and maintain ETL/ELT pipelines using Apache Airflow and Python under the guidance of senior engineers.
Data Foundations: Assist in building and maintaining data models within Snowflake and Salesforce Data360, ensuring data accuracy and consistency.
Graph Development: Support the team in maintaining Neo4j data graphs, writing basic Cypher queries, and loading data into graph structures.
DevOps & CI/CD: Participate in CI/CD workflows using Git, following team standards for code versioning, testing, and deployment.
Data Quality: Execute QA testing on pipelines and datasets, flag anomalies, and help document data lineage and transformation logic.
Integration Support: Assist in building and maintaining APIs and data connections between Snowflake, AWS services (S3, Lambda), and other platforms.
Documentation: Create and maintain clear technical documentation for pipelines, data models, and processes.
Collaboration: Work with senior engineers and business partners to understand requirements and contribute to solution delivery.
Required Skills/Experience
Relevant work experience, with 5+ years related information systems
Foundational proficiency in SQL, Python, Informatica IICS, dbt.
Proficiency in Apache Airflow and Snowflake.
Understanding of data modeling concepts (dimensional modeling, Star/Snowflake schema).
Understanding of API protocols (REST/JSON) to support Agentic workflows.
Familiarity with Git and version control workflows.
Exposure to or willingness to learn Apache Airflow, Snowflake, and cloud data platforms.
Strong attention to detail and a quality-first mindset.
Curiosity and eagerness to learn — you don't need to know everything, but you should want to figure it out.
Good communication skills and a collaborative, team-first attitude.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
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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.