Want to know if this job is worth applying to?
Ciudad de México, Ciudad de México, México
Onsite
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
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.
Senior Data Engineer
Data Analytics Team
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.
Position Overview
Salesforce is looking for an exceptional Data Engineer to join our Data & Analytics organization and help power the future of intelligent, agentic Customer Success. In this high-impact role as a senior technical individual contributor, you will bridge the gap between raw data systems and the agentic layer driving true business impact. You will architect, build, and scale the foundational data pipelines and data graphs that ground our AI agents in accurate, real-time, high-context data. By ensuring absolute data quality, reliability, and freshness, and partnering across engineering, data science, and product teams, you will create the unified data backbone that powers Agentforce's personalized, intelligent customer interactions.
What You'll Do
Data Architecture & Development: Build the data architecture and catalog for AI consumption and human augmentation, leading with precision, rigor, and scale.
Customer Graphs & Identity: Build on top of identity graphs, overlaying structured, unstructured, and real-time insights to power agentic systems and human-facing applications.
Operational Excellence: Establish and enforce rigorous technical standards for data quality, latency, and index freshness, ensuring AI agents provide reliable, real-time insights.
Cross-Functional Collaboration: Partner with engineering leaders, product managers, decision scientists, and data scientists to translate complex business needs into scalable, production-ready solutions.
AI Integration & Automation: Lead high-impact initiatives to automate data delivery pipelines, ensuring seamless integration across internal databases, third-party APIs, and the AI orchestration layer.
Software Engineering: Build and ship high-quality, production-grade software using modern engineering practices, embedding AI tools into your daily workflow to deliver secure, optimized code.
Code Quality Assurance: Critically evaluate both human and AI-generated code for correctness, quality, security, and performance.
On-Call Support: Participate in the team's on-call rotation to triage production data issues in real time, keeping critical services highly available.
Required Qualifications
Experience: 6+ years of experience as a Data Engineer or in a closely related technical role.
Data Architecture & Orchestration: Proficiency in data modeling, data graphs, and building robust ETL/ELT pipelines to ingest and transform heterogeneous data sources using tools like Airflow and dbt.
Graph Databases: Practical experience designing, querying, and managing graph databases (e.g., Neo4j, AWS Neptune) to support highly interconnected data structures and knowledge graphs.
Technical Stack: Strong command of core data engineering tools and languages, specifically Python, SQL, and Spark.
Cloud & Warehousing: Hands-on experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and modern cloud data warehousing solutions like Snowflake.
Problem-Solving: Proven ability to troubleshoot and resolve complex, production-level data issues.
Collaboration: Excellent communication skills and a proven ability to collaborate in a cross-functional environment.
Preferred Qualifications
Salesforce Ecosystem: Hands-on experience with the Salesforce platform, specifically Salesforce Data Cloud.
AI-First Engineering Mindset: A demonstrated approach to utilizing AI to accelerate development speed, build full-stack fluency, and contribute across broader engineering specialties.
AI Developer Tooling: Proficiency in embedding modern AI tools (e.g., Claude Code, GitHub Copilot, Cursor) directly into your daily development workflows.
Join our innovative team and contribute to our data-driven success. Apply today to help us build and maintain the data infrastructure that drives our business forward.
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.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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.
