LandOffer
Senior Data Engineer
Job details
- Employment
- Full-time
- Level
- Senior
- Experience
- 6+ years
- Posted
- Jul 1, 2026
- Last confirmed open
- Oct 23, 2026
What you'll need to apply
Fields this application requires
Company-specific questions
- Will you now or could you in the future require sponsorship to obtain work authorization or to transfer or extend your current visa? (You must answer “Yes” if your current visa is tied to your spouse or partner’s visa or if you are on a bridging visa or working holiday visa)
- Are you a citizen, national or permanent resident of Iran, Cuba, North Korea or Syria? As a U.S. company that exports software and technology internationally, we must comply with U.S. export control laws in every country where we operate. The information provided will be used to determine whether we need to obtain an Export Control License for your employment if you are hired.
- Regarding future positions at Salesforce, please select one of the following options
About this role
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.