Data Engineer Senior | AI & Data
Salesforce3 days ago
Mexico City, MexicoSenior
Responsibilities
- Design, build, and maintain automated data pipelines and dimensional, star, and snowflake models using dbt, Snowflake, Informatica, and Airflow.
- Integrate Salesforce Core and Data 360 data into unified, accurate, and high-quality datasets.
- Implement validation, observability, automated monitoring, governance, lineage, access controls, semantic definitions, and audit logging.
- Troubleshoot and optimize data systems for accuracy, performance, scalability, and cost.
- Partner with analysts, product managers, and business teams to deliver production-ready data products.
- Use Cursor, Codex, Claude Code, and other AI-native tools for development, testing, documentation, and troubleshooting.
- Build and supervise agentic workflows for ETL, automated QA, anomaly detection, pipeline remediation, modeling, and simulation.
- Develop MCP servers that provide secure, governed agent access to Snowflake, Salesforce, and internal data catalogs.
- Design self-correction loops, peer-review agents, and human-in-the-loop checkpoints to validate agent output before production.
- Contribute to red-team and validation agents that identify logic flaws, vulnerabilities, and integrity risks.
- Lead and mentor peers on AI-assisted engineering practices and improve tools, standards, and documentation.
Requirements
- 5–7 years of hands-on data engineering experience.
- Strong data modeling and data curation experience, including dimensional, star, and snowflake models.
- Production experience with dbt and Snowflake, plus working knowledge of Informatica and Airflow.
- Proven use of AI coding assistants and generative AI to deliver measurable productivity improvements.
- Hands-on experience with context engineering and agent design, including tool use, reasoning, and self-correction.
- Ability to identify logic errors and hallucinations in AI-generated output before production use.
- Strong problem-solving, attention to detail, and cross-functional communication skills.
- Preferred qualifications include agentic frameworks, building or consuming MCP servers, Salesforce Core and Data 360, Data Mesh, Data-as-a-Product, event-driven architecture, semantic layers, knowledge graphs, AI evaluation, guardrails, adversarial agent testing, statistical and simulation literacy, and long-running agent workload orchestration.
Benefits
- Salesforce describes benefits and resources intended to support balance and well-being.
- The role is based in Mexico City.
- Salesforce provides reasonable accommodation during the application and recruiting process.
Tech Stack
Apache AirflowdbtInformaticaSnowflake
Categories
Data Engineering
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.