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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,
Customer Success Data Platform:
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Position Overview:
As a Data Engineer at Salesforce within the Data & Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem.
What You’ll Do
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Implement Retrieval Systems: Design and implement robust search indices that enable AI agents to perform complex retrievals across the Salesforce data ecosystem.
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Infrastructure for Inference: Partner with Decision Scientists to build the specialized infrastructure required for attribution and causal modeling.
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Customer Graphs and Identity: Build on top of identity graphs, overlaying structured, unstructured, and real-time insights for powering Agentic systems and human-facing applications.
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Data Architecture and Development: Help modernize the data architecture and catalog for AI consumption and Human augmentation, leading with precision, rigor, and scale.
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Activate Trusted Metrics at Scale: Turn data and insights into action through proactive automation, and reactive interactions.
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Operational Excellence: Establish and enforce rigorous technical standards for data quality, latency, and index freshness to ensure agents provide reliable, real-time insights.
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Cross-Functional Collaboration: Partner with Decision Scientists, Data Scientists, Product Managers, and Engineering Leaders to translate complex business needs into scalable, production-ready technical solutions.
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AI Integration & Automation: Lead high-impact efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer.
Qualifications:
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6+ years of experience as a Data Engineer or in a similar role.
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Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
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Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
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Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
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Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
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Experience with the Salesforce Ecosystem, specifically Data Cloud.
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Problem-solving skills to troubleshoot and resolve data-related issues.
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Excellent communication skills and ability to collaborate in a cross-functional environment.
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.
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.
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모의 지원자 수
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Salesforce 소개

Salesforce
PublicA cloud-based software company that provides customer relationship management software and applications.
10,001+
직원 수
San Francisco
본사 위치
$243B
기업 가치
리뷰
4.0
16개 리뷰
워라밸
3.0
보상
3.5
문화
2.5
커리어
3.0
경영진
2.0
35%
친구에게 추천
장점
Competitive compensation packages
Remote work flexibility
Good benefits (headphone/internet reimbursement)
단점
Ongoing layoffs and job insecurity
Poor refresher/yearly stock grants
Condescending interview processes
연봉 정보
49개 데이터
Mid/L4
Senior/L5
Mid/L4 · Analyst Business Intelligence
1개 리포트
$156,823
총 연봉
기본급
$120,633
주식
-
보너스
-
$156,823
$156,823
면접 경험
5개 면접
난이도
3.4
/ 5
합격률
20%
경험
긍정 20%
보통 20%
부정 60%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview Panel
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
뉴스 & 버즈
WLB not good & culture is getting changed day by day
Internal political situation deteriorating, frequent layoffs impacting remaining employees workload and wellbeing
News
·
NaNw ago
Good pay but culture getting worse day by day
Compensation is decent but culture has shifted to high performance focus with constant reorgs and leadership changes
News
·
NaNw ago
Great work life balance but unclear career growth
WLB is great with flexible hours and remote-friendly policies, but promotion opportunities are very limited
News
·
NaNw ago
Salesforce Interview Experience
Two technical rounds with friendly interviewers, tested on C, debugging, storage concepts, and algorithm problems
News
·
NaNw ago