高级数据工程师
Senior Data Engineer
**地点：远程 - 瓜达拉哈拉**
**关于公司：**
Salesloft 正在打造企业收入的新时代——一个由人工智能和真实信号驱动的团队做出自信决策的时代。通过结合我们的规模、洞察力和人工智能创新，我们正在打造行业首个预测性收入系统，使人类与人工智能协作以做出更明智的决策并推动持续增长。
每天有成千上万的客户使用我们的平台，我们对收入是如何被赢得的有着无与伦比的了解——揭示了发生了什么、何时发生以及结果如何的“收入背景”。这使我们有机会彻底改变一个整个品类，并为现代收入团队的运作方式设定新的标准。
加入我们，帮助改变全球公司运营收入的方式——并构建将领先的收入团队引领未来的平台。
**职位机会**
在 Salesloft，我们的高级数据工程师构建在公司内部移动、转换和保护数据的管道和基础设施。你将构建支撑我们的安全分析、内部报告以及业务依赖的可信数据流的数据基础架构——工程出可靠、受良好管理且可扩展的管道。
这是一个需要亲自动手的数据工程职位，拥有真正的责任。你将设计和构建数据管道，为分析和安全用例建模数据，并确保你所负责系统的数据质量和治理。在我们的安全和数据组织中工作，你将构建将安全、隐私和可靠性作为首要要求的数据基础设施。
日常工作中，你将：
- 设计、构建和维护可扩展的数据管道，可靠地在系统间移动和转换数据。
- 为分析、报告和安全用例建模和结构化数据。
- 确保你所负责的管道和数据集中的数据质量、血缘关系和治理。
- 构建和维护支持安全分析和内部决策的数据基础设施。
- 与安全、分析和业务团队合作，提供值得信赖、受良好治理的数据。
- 自动化和强化数据工作流，将可靠性和安全性作为首要考虑因素。
这个职位位于我们“让你留下印记”的核心：你将构建持久、受良好治理的数据基础设施，解决数据质量问题的根本原因，而不是每次管道崩溃时进行修补。本着我们的方式精神
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**Location: Remote - Guadalajara**
**ABOUT THE COMPANY:**
Salesloft is building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we're building the industry's first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.
With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.
Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.
**THE OPPORTUNITY**
At Salesloft, our Senior Data Engineers build the pipelines and infrastructure that move, transform, and secure data across the company. You will build the data foundations that power our security analytics, internal reporting, and the trustworthy data flows the business depends on — engineering pipelines that are reliable, well-governed, and built to scale.
This is a hands-on data engineering role with real ownership. You will design and build data pipelines, model data for analytics and security use cases, and ensure data quality and governance across the systems you own. Working within our Security and data organization, you will engineer data infrastructure that treats security, privacy, and reliability as first-class requirements.
On a day-to-day basis, you will:
- Design, build, and maintain scalable data pipelines that move and transform data across systems reliably.
- Model and structure data for analytics, reporting, and security use cases.
- Ensure data quality, lineage, and governance across the pipelines and datasets you own.
- Build and maintain the data infrastructure that powers security analytics and internal decision-making.
- Partner with security, analytics, and business teams to deliver trustworthy, well-governed data.
- Automate and harden data workflows, treating reliability and security as first-class concerns.
This role lives at the heart of how we Make Your Mark: you'll build durable, well-governed data infrastructure and fix root causes of data quality issues rather than patching pipelines each time they break. And in the spirit of how we are Customer Inspired — where every decision has a true north, and it's our customer — you'll engineer data flows that respect the security and privacy of the data customers trust us with.
**WHAT WE'RE LOOKING FOR**
We are looking for an experienced data engineer who builds reliable, well-governed pipelines and cares about data quality and security. You own your data infrastructure end to end and think about reliability, lineage, and governance as core to the job.
You embody what we call Evidence Over Ego — you validate data quality rigorously, trace issues to their true source, and are candid about data limitations. You think in systems and build pipelines designed to last.
This is the right role if you want to build the data foundations that a category-defining company runs on.
**THE TEAM**
The Salesloft Security and data organization protects and governs the data the company and its customers depend on. Senior Data Engineers build the pipelines and infrastructure behind security analytics and trustworthy internal data, working closely with Security, Analytics, and business teams.
The team Moves as One — data engineering, security, and analytics share ownership of reliable, well-governed data and coordinate directly. And we are relentlessly Customer Inspired: our customers' success is the only scorecard that matters, and well-governed, secure data infrastructure is part of how we protect the company and its customers.
**THE SKILL SET**
- Strong experience as a data engineer building and maintaining production data pipelines.
- Proficiency in SQL and a major programming language (e.g., Python) used for data engineering.
- Experience with modern data pipeline and orchestration tooling and cloud data platforms.
- Solid understanding of data modeling, data quality, and governance practices.
- Experience with cloud infrastructure (AWS or GCP).
- Experience building data infrastructure for security analytics or other sensitive-data use cases.
- Familiarity with streaming data systems (Kafka, Kinesis) and modern warehouse/lakehouse platforms.
- Exposure to data infrastructure supporting AI/ML workloads.
**BENEFITS:**
For more information about our company's comprehensive benefits please visit: https://salesloftbenefits.com/
At Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.
We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.
If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!
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Please note that all official communication regarding job opportunities at Salesloft will come from an @ [salesloft.com](http://salesloft.com) email address. If you receive messages on LinkedIn or other job platforms claiming to be from Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official [Careers Page](https://salesloft.com/company/careers/).
_We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration._