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 Responsibilities
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 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.

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 Responsibilities
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 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.