Senior Data Engineer, Mexico - Mexico City | Salesforce Careers We care about your privacy Thank you, your preferences have been updated. By clicking "Accept All", you agree to the storing of cookies on your device to give you the most optimal experience using our website. We may also use cookies to enhance performance, analyze site usage, and to personalize your experience. Manage Preferences Accept All Essential Only Skip to main content Careers Life at Salesforce Our Locations Our Locations North America Europe, Middle East, and Africa Asia Pacific Latin America Our Teams Our Teams Sales Technology & Product Customer Success Corporate Roles AI Research University University Overview Interns New Grads Advanced Degrees Associate Program Manager Talent Programs Talent Programs Overview Future Pathways India Return to Work Military Fellows Saved jobs Search jobs Yes No Senior Data Engineer Software Engineering Mexico - Mexico City Full time Posted 05 June 2026 JR336657 Apply Now Save Saved Open sharing options Share Description 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. At Salesforce, we strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation 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. Equal Opportunity 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
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benefits, promotions, transfers, reduction in workforce, recall, training, and education. Salesforce welcomes all. In the United States,
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benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company
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Solution Engineer - Higher Education
Solution COE - Strategy & Operations Senior Director
Business Development Representative - Czech Market (Czech or Slovak Speakers)
Marketing Cloud Account Executive - Finland
France Country Controller Senior Director
Location
Mexico City, Mexico
Total raised
$68.0M
Last stage
Series B
Investors
Adam Evans
Co-Founder & CTO
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.