
The Customer Company - CRM + Data + AI + Trust
Data Engineer
복지 및 혜택
•유연 근무제
•교육비 지원
•육아휴직
필수 스킬
React
TypeScript
JavaScript
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.
DATA ENGINEER
Mexico City
About the Role
We’re building the product data platform that will power Salesforce’s next era of agentic intelligence — delivering smarter, adaptive, and self-optimizing product experiences.
As a Full-Stack Data Engineer, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents.
You’ll work on:
- Near real-time and batch telemetry pipelines for trusted signal capture
- Semantic layers and data products for reusable insights
- Programmatic discovery via metadata, MCP, and knowledge graphs
This isn’t a typical data engineering role. We’re looking for creative, systems-minded engineers working outside of the “data engineer” box, fluent in both data and AI, and excited to navigate ambiguity, cross boundaries, and drive real impact.
What You’ll Do
- Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT
- Design programmatic consumption layers to make product signals easy to define, discover, and reuse
- Apply software engineering best practices to data systems: testing, CI/CD, observability
- Evolve systems to support not just human analysis, but autonomous agent reasoning
- Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products
- Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders
What We’re Looking For
- Strong experience in data engineering, with strong software engineering fundamentals
- Expertise with big data frameworks: Spark, Trino/Presto, DBT, Snowflake
- Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions)
- Solid understanding of semantic layers, data modeling, and metrics systems
- Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization
- Bonus: fluency in AI data engineering patterns and tools like MCP
- Bonus: experience with knowledge graphs and modern metadata systems
- Strong communicator and collaborator — comfortable working across teams and domains
- Curious, pragmatic, and impact-driven mindset
Why Join Us
Help shape how Salesforce leads the digital labor revolution. You’ll be at the heart of transforming raw product signals into intelligent decisions — for everyone from engineers to sales reps to AI agents. If you’re excited to design resilient, trusted, and intelligent systems at scale, we’d love to hear from you.
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 require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
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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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
10개 리뷰
4.3
10개 리뷰
워라밸
3.2
보상
4.5
문화
4.6
커리어
4.2
경영진
4.1
78%
지인 추천률
장점
Great benefits and high salary
Excellent work culture and supportive management
Career advancement and development opportunities
단점
Work-life balance challenges and long hours
High-pressure environment with heavy workload
Fast-paced environment with high expectations
연봉 정보
50개 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 후기
후기 4개
난이도
3.0
/ 5
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Assessment
5
Virtual Technical Interview
6
Onsite/Final Interview Loop
7
Manager Interview
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
최근 소식
Great WLB and benefits; work for SWE could be more technically challenging
Benefits are incredible with attractive ESPP and generous time off, but tech stack is described as ancient
blind
·
WLB not good & culture is getting changed day by day
Internal political situation deteriorating, frequent layoffs impacting remaining employees workload and wellbeing
glassdoor
·
Great work life balance but unclear career growth
WLB is great with flexible hours and remote-friendly policies, but promotion opportunities are very limited
blind
·
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
blind
·