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Salesforce
Forward Deployed Engineer (FDE) - Data 360
Career Insights for Operating Engineer / Heavy Equipment Operator
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Illinois data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
An Operating Engineer or Heavy Equipment Operator drives and operates heavy equipment used in quarries, construction sites, landfills, refuse and recycling centers, or ports. Heavy Equipment may include, but is not limited to, bulldozers, excavators, paving equipment and pile drivers.
$54,776 / year median in Illinois
+11% projected growth
Job Description
at Salesforce in Chicago, Illinois, United States Job Description 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 CategorySales 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
What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $88,970
- it's a way of life.
- and grounding agents in accurate, real-time enterprise data is deep data engineering.
- writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production.
What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production
- using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required
- following security, change-management, and release controls.
- RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases
- that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols
- including Model Context Protocol (MCP) and agent-to-agent communication
- that govern, monitor, and ensure efficient collaboration among specialized AI agents.
- methodically, with logs and query evidence, isolating product behavior from configuration error. Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead. Accelerate with AI. Use AI tooling
- including Data 360 APIs and MCP Servers
- to automate the build process and compress customers' time to value.
- with live evidence, impact, and expected behavior
- directly to Product and Support.
- Apex, Java, Python, or JavaScript/TypeScript
- and are willing to learn the others as needed. You understand data modeling, APIs, integration patterns, batch and streaming processing, and the practical differences between copied, federated, and Zero Copy data access. You've built retrieval systems for AI applications
- vector databases, search indexes, embedding pipelines, or knowledge bases
- and can explain the design decisions behind chunking, indexing, and relevance.
- but to redefine what's possible
- for yourself, for AI, and the world.
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.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $88,970
- $287,910 annually There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $97,860
- $316,750 per year.