# Data Engineer Senior | AI & Data Source: https://realanalystjobs.com/job/data-engineer-senior-ai-and-data-salesforce-1e48a92e Data Engineer Senior | AI & Data at Salesforce, based in Mexico - Mexico City. Experience level: 7 Years. Posted on 19 October 2026, read from Salesforce's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Salesforce](https://realanalystjobs.com/companies/salesforce) - Location: Mexico - Mexico City - Posted: Oct 19, 2026 - Employment type: Full time - Experience level: 7 Years - Source: Salesforce's careers page (Workday), re-checked daily Skills: [dbt](https://realanalystjobs.com/skills/dbt), Snowflake, Airflow ## Visa sponsorship The posting does not say. Salesforce had H-1B petitions approved for 1,517 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/salesforce#h1b-record) ## About this role 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 Engineering Job 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 | AI & Data DET TEAM Mexico City We are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and models that power analytics, AI, and business insights. You will work across modern data platforms such as dbt, Snowflake, Informatica, Airflow. You will also use AI-native development tools and agentic workflows to build faster, validate more rigorously, and keep data products reliable. Key Responsibilitie s Data and AI engineering • Design, build, and maintain automated pipelines and dimensional/star/snowflake models using dbt, Snowflake, Informatica, and Airflow. These power analytics, reporting, and ML/AI use cases. • Integrate data from multiple systems, including Salesforce Core and Data 360, into unified, high-quality datasets. • Ensure accuracy, completeness, and consistency through validation, observability, and automated monitoring. Troubleshoot issues and optimize for performance, scalability, and cost. • Partner with analysts, product managers, and business teams to turn ambiguous requirements into production-ready data products. • Use AI-native tools (e.g., Cursor, Codex, Claude Code) to accelerate development, testing, documentation, and troubleshooting. • Build agentic workflows for ETL, automated QA, anomaly detection, and pipeline remediation. Agents propose fixes, and you review and approve them. • Design verification patterns (self-correction loops, peer-review agents, human-in-the-loop checkpoints) so agent output is validated before production. • Develop MCP servers that give agents secure, governed access to Snowflake, Salesforce, and internal data catalogs. Use agents to keep documentation, lineage, and metadata current. • Supervise long-running agent tasks with checkpoints, cost controls, and audit trails. Contribute to agent-assisted modeling and simulation workflows, reviewing assumptions and uncertainty before decisions are acted on. Governance, quality, and security • Apply governance as code to pipelines and agents: lineage, access controls, semantic definitions, and audit logging. • Support data quality and governance initiatives in line with standards and best practices. • Contribute to red-team and validation agents that probe pipelines and agents for logic flaws, vulnerabilities, and integrity risks. Team and craft • Lead and mentor peers on AI-assisted engineering practices. • Improve tools, standards, and documentation, and evaluate emerging data and AI technologies with sound judgment. Required Skills and Experience • 5 - 7 years of hands-on data engineering experience. • Strong data modeling skills (dimensional, star/snowflake) and data curation experience. Production experience with dbt and Snowflake. Working knowledge of Informatica and Airflow. • Proven use of AI coding assistants and generative AI to deliver measurably faster, with examples. • Hands-on context engineering and agent design (tool use, reasoning, self-correction). • Sharp judgment to catch logic errors and hallucinations in AI-generated output before it reaches production. • Strong problem-solving, attention to detail, and cross-functional communication. Preferred Skills (Must) • Agentic frameworks and building or consuming MCP servers. • Salesforce Core and Data 360 knowledge. • Data Mesh, Data-as-a-Product, event-driven architecture, semantic layers, and knowledge graphs. • AI evaluation, guardrails, and adversarial testing of agents. • Statistical and simulation literacy, and experience orchestrating long-running agent workloads. 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 Description from Salesforce's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/data-engineer-senior-ai-and-data-salesforce-1e48a92e) and use Apply now there to reach the employer's application. The listing is re-checked against Salesforce's careers page daily and removed when it closes. ## Salesforce 34 open analyst roles on Real Analyst Jobs. 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