数据工程师
Data Engineer
关于Burq
Burq有一个雄心勃勃的使命：如何将提供配送服务的复杂流程转化为简单的即插即用解决方案。
这是一个宏大的使命，现在我们希望你加入我们，让它变得更大！🚀
我们已经获得了一些硅谷顶级风险投资公司的支持，包括Village Global，该基金的投资人包括比尔·盖茨、杰夫·贝索斯、马克·扎克伯格、里德·霍夫曼和莎拉·布莱克利。我们已经组建了一支全球顶尖的团队。
我们以规模化运营，但与机会相比，我们仍是一个小团队。我们面前有大量工作要做。这意味着你将有机会在职业生涯中最重要的工作中成长。
职位描述
作为我们的首批数据工程师之一，你将负责设计、构建和维护推动我们数据驱动决策的管道和基础设施。你将与产品、运营和工程团队紧密合作，确保数据干净、可靠，并能驱动洞察力，从优化配送路线到提升客户体验。
这是一个独特的机遇，可以从零开始构建可扩展的数据系统，并塑造我们分析和AI能力的基础。
你将负责
- 设计与构建管道：开发和维护可扩展的ETL/ELT流程，从多个来源（内部系统、第三方API、物联网设备）获取、清理和转换数据。
- 数据建模：为分析、机器学习和运营系统设计和实现高效的数据模型。
- 基础设施：负责数据基础设施，利用云原生解决方案（如AWS、GCP或Azure）和现代数据工具。
- 协作：与数据科学家、分析师和软件工程师合作，交付能够实现更明智决策的数据产品。
- 数据质量：实施强大的监控、验证和治理，确保准确性、安全性和合规性。
- 可扩展性：设计能够处理业务增长带来的数据量和复杂性快速增加的解决方案。
- 要求
- 经验：3年以上数据工程经验，最好在初创公司或高增长环境中。
- 技术技能：
- 精通SQL和至少一种编程语言（Python、Scala或Java）。
- 有云数据仓库经验（Snowflake、BigQuery或Redshift）。
- 熟悉工作流编排工具（Airflow、Dagster、Prefect）。
- 具备数据工具的实际操作经验
查看英文原文
About Burq
Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.
It’s a big mission and now we want you to join us to make it even bigger! 🚀
We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe.
We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.
The Role
As one of our first Data Engineers, you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision-making. You’ll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences.
This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities.
What You’ll Do
- Design & Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third-party APIs, IoT devices).
- Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems.
- Infrastructure: Own the data infrastructure, leveraging cloud-native solutions (e.g., AWS, GCP, or Azure) and modern data tools.
- Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision-making.
- Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance.
- Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales.
- Requirements
- Experience: 3+ years of experience in data engineering, preferably in a startup or high-growth environment.
- Technical Skills:
- Proficiency with SQL and at least one programming language (Python, Scala, or Java).
- Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift).
- Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect).
- Hands-on experience with data streaming (Kafka, Kinesis) is a plus.
- Mindset: A builder mentality—comfortable with ambiguity, fast iterations, and working in a small but mighty team.
- Benefits
- Investing in you 🙏
- Competitive Salary, Stock Options, and Performance-based Bonuses
- Fully Remote
- Comprehensive Medical, Vision and Dental Insurance
At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Originally posted on Himalayas