出海雷达

Senior Data Engineer

开发工程限定地区(需当地身份)
公司Hack The Box
薪资$140,000 - $160,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

欢迎来到!超级兴奋你下降了让我们重新定义网络安全专业标准,通过非常有吸引力的黑客体验来连接企业 -社区。(在我们的职业网站上了解更多关于 Hack The Box 文化的见解).✨高级数据工程师的主要任务:你将拥有和发展 GCP 上的数据管道构建新的数据管道,硬化现有的数据,提高数据质量,并使清洁可信的数据可供组织使用。你将从 CDC 到事件摄入,通过转型,服务以及功能层提供支持我们的 ML 和 AI 产品的流媒体和批量管道。你的日常工作包括在 BigQuery 和 ClickHouse 上设计 ELT/ETL 流程,使用 Dataflow (以及 Flink/Spark)建立 Pub/Sub 和 Kafka 上的实时管道,并与 Airflow 进行工作流程的调整,确保数据得到适当清理,建模,用于分析,ML 培训和线上推断。你将与 ML 工程师合作于功能管道,监测数据漂移,并在需要的情况下保持模型的良好营养和重训。你将消耗和构建 REST API,集成第三方 SaaS 源,并把基础设施视为代码模式。地点 & 工作模式:·美国 ·远程学员 你将加入全校奖学金:你将成为数据,分析和人工智能团队的一部分,与基础设施,软件工程,产品和 ML/AI 工程师密切合作。我们正处于 GCP 原生现代化的中间从雪花迁移到 BigQuery,Bigtable,Pub/Sub 和 Dataflow 所以我们正在寻找一个对清洁的架构有意见的人,过度工程感敏,并舒适地拥有端到端系统。如果退休旧仓库并取代它听起来像是一个好时机,你会合适的工具。️技术 &武器你将使用:·云和仓库:GCP,BigQuery ,大盘存储和流媒体:·云计算:·高考 / Sub,加福卡·云处理:·云信息传输 · 数据流 (Apache Beam),如有必要的,包括 Flink/Spark ·编辑:Airflow (云组合器)·分析商店:ClickHouse ·语言:Python,SQL ·建模和质量:dbt,数据质量门 ·容器与 CI/CD:Docker,Kubernetes,GitHub 行动 /等级 ·遗产 (退休):雪 成为 Hack The Box 高级数据工程师后你将在海克的冒险:·设计和构建批量和流媒体管道

查看英文原文

Welcome! Super excited you dropped by 🥳
Let's redefine cyber security expertise standards and connect business - community through highly engaging hacking experiences. (Find out more insights about Hack The Box culture in our career site).
✨The core mission of the Senior Data Engineer:
You will own and evolve our data pipelines on GCP — building new ones, hardening existing ones, improving data quality, and making clean, trustworthy data available across the organisation. You'll work end-to-end on streaming and batch pipelines, from CDC and event ingestion through transformation, serving, and the feature layer that powers our ML and AI products.
Your day-to-day will include designing ELT/ETL processes on BigQuery and ClickHouse, building real-time pipelines on Pub/Sub and Kafka with Dataflow (and where it fits, Flink/Spark), orchestrating workflows with Airflow, and ensuring data is properly cleaned, modelled, and served for analytics, ML training, and online inference. You'll partner with ML engineers on feature pipelines, monitoring data drift, and keeping models well-fed and retrained as needed. You'll consume and build REST APIs, integrate with third-party SaaS sources, and treat infrastructure as code.
🏢 Location & Work Mode:

  • US
  • Fully Remote

🍺 The fellowship you’ll be joining:
You will be part of the Data, Analytics & AI team, collaborating closely with Infrastructure, Software Engineering, Product, and ML/AI engineers. We're in the middle of a GCP-native modernisation — migrating away from Snowflake toward BigQuery, Bigtable, Pub/Sub, and Dataflow — so we're looking for someone who's opinionated about clean architecture, allergic to over-engineering, and comfortable owning systems end-to-end. If retiring a legacy warehouse and standing up its replacement sounds like a good time, you'll fit right in.
⚔️ Technology tools & weapons you’ll be using:

  • Cloud & warehouse: GCP, BigQuery, Bigtable, Cloud Storage
  • Streaming & messaging: Pub/Sub, Kafka
  • Processing: Dataflow (Apache Beam), with Flink/Spark where appropriate
  • Orchestration: Airflow (Cloud Composer)
  • Analytical store: ClickHouse
  • Languages: Python, SQL
  • Modelling & quality: dbt, data quality gates
  • Containers & CI/CD: Docker, Kubernetes, GitHub Actions / equivalent
  • Legacy (being retired): Snowflake

🚀 The adventures that await you after becoming Senior Data Engineer at Hack The Box:

  • Design and build batch and streaming pipelines on Dataflow, Pub/Sub, and Kafka feeding BigQuery, Bigtable, and ClickHouse
  • Help drive the migration off Snowflake onto our GCP-native stack — and retire shadow pipelines along the way
  • Own the orchestration layer in Airflow, including SLAs, retries, and data quality gates
  • Model data for analytics and for ML — including feature pipelines that serve both training and low-latency online inference
  • Partner with ML engineers on feature stores, drift monitoring, and retraining workflows
  • Capture requirements from stakeholders and translate them into pragmatic, well-scoped data products
  • Continuously improve data quality, reliability, observability, and cost efficiency
  • Identify new data sources worth acquiring and integrate them cleanly

🏆 Skills, knowledge, and experience points required to unlock the role of the Senior Data Engineer at Hack The Box:

  • Strong data modelling and warehouse architecture skills (dimensional modelling, event-driven, lakehouse patterns)
  • Hands-on experience with GCP data services — BigQuery is a must; Pub/Sub, Dataflow, Bigtable, Cloud Composer are strong pluses
  • Production experience with streaming pipelines on Dataflow/Beam, Flink, or Spark Structured Streaming, ingesting from Kafka and/or Pub/Sub
  • Solid SQL and strong Python — you write production-quality code, not just notebooks
  • Experience with ClickHouse or another columnar OLAP engine in production
  • Workflow orchestration experience with Airflow (or Prefect/Dagster)
  • Comfortable with dbt or equivalent transformation frameworks
  • Experience migrating off legacy warehouses (Snowflake, Redshift, Synapse) onto cloud-native stacks is a plus
  • Working knowledge of ML in production — feature engineering, feature stores, model deployment, drift monitoring, retraining
  • Docker & Kubernetes experience
  • CI/CD mindset, infrastructure-as-code sensibility, and a bias for simple, observable systems
  • Bonus: CDC tooling (Datastream, Debezium), Vertex AI / Feature Store

What your Hack The Box adventure will have in store:

  • 🎯You'll have the exhilarating opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large
  • 🎯 You'll experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy
  • 🎯 You'll embark on an exciting journey of continuous learning and problem-solving, leveling up as our organization grows
  • 🎯 Most importantly, you'll have a blast at HTB 🥳 because fun is an essential ingredient in our recipe for success! Just wait until you see our global meet-ups!

💰 The gems you’ll be enjoying as a Senior Data Engineer:

  • Comp: $140,000-160,000
  • Medical, Dental & Vision (employee coverage 100% paid for by Hack The Box)
  • 401K w/ employer match
  • Employer-paid Life and AD&D Insurance
  • Supplemental Life Insurance
  • Short-term and Long-term Disability
  • Healthcare and Dependent Care FSA
  • Paid parental leave
  • 25 annual leave days
  • Home Office Allowance
  • Dedicated budget for training and professional development, participation in conferences
  • State-of-the-art equipment
  • Full access to the Hack The Box lab offerings; so you can learn how to hack 😉

🗺️ The Quest of Becoming Hack The Box’s Senior Data Engineer:

  • Level 1: To complete level one’s objective, submit your application.
  • Level 2: Meet the Talent Acquisition team. Level’s objective: highlight your past achievements, ambitions, and values.
  • Level 3: Meet the hiring team. Level’s objective: connect with the hiring team and share with them your achievements.
  • Level 4: Complete 2 assignments that align with day-to-day job-related tasks and responsibilities. Part of the assignment is discussing it with the hiring team in a debriefing session, in order to walk the team through your thinking process.
  • Level 5: Congratulations! Not many reach this level 💪. Level’s objective: have a constructive, final conversation with senior leadership to explore the role and your future at HTB.
  • Level 6: You've officially received an offer from HTB! To complete the last level and the Quest, all you need to do is accept the offer.
  • Quest complete. Congratulations, you’re officially one of us 🥳🎉🎇Your next quest: complete the onboarding.

Hack Your Career, Today. Join us in this epic adventure of cybersecurity at Hack The Box! 🚀🔒💻
At Hack The Box, we are on a quest to find the most exceptional and enthusiastic talent to join our team. Whether or not you consider yourself a gamer, we value what makes you unique and want to know more about you. This job post provides just a glimpse of the incredible gamified experience our business and consumer customers enjoy through our platforms. So, if you're ready to embark on a journey of growth and adventure, we can't wait to meet you!
ABOUT HACK THE BOX
Hack The Box is the Cyber Performance Center with the mission to provide a human-first platform to create and maintain high-performing cybersecurity individuals and organizations.
Hack The Box is the only platform that unites upskilling, workforce development, and the human focus in the cybersecurity industry, and it’s trusted by organizations worldwide for driving their teams to peak performance. Offering an all-in-one environment for continuous growth, assessment, and recruitment, Hack The Box provides solutions for all cybersecurity domains.
Launched in 2017, Hack The Box brings together the largest global cybersecurity community of more than 3 million platform members. Rapidly growing its international footprint and reach, Hack The Box is headquartered in the UK, with additional offices in the US, Australia, and Greece.
🚨 Exciting News:

  • Get the most important updates on HTB’s latest year!
  • We are super proud to share that HTB’s all three entities across the UK, US, and Greece have been Certified as a Great Place to Work (Oct 2023-Oct 2024).
  • Furthermore, in 2024 the HTB's Greek entity has been listed by the Great Place to Work Institute as the #2 Best Workplace in Greece and #10 Best Workplace in Europe (among Small & Medium Workplaces💪).
  • Take a sneak peek at how it is to be part of HTB and our 2023 Global Retreat. Get more insights about our HTB culture and employee experience by visiting the “about us” section of our site, our career site, and Glassdoor.

At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values.
Originally posted on Himalayas

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