高级软件工程师，大数据
Senior Software Engineer, Big Data
我们提供混合办公环境。大多数美国本地职位也可以远程工作（任何例外情况将在以下最低资格中注明）。
我们的使命：
积极将人们与下一个绝佳机会联系起来。
我们是谁：
ZipRecruiter 是一个领先的在线就业市场。通过人工智能驱动的智能匹配技术，公司通过创新的移动、网页和电子邮件服务，以及与网络上最佳招聘网站的合作，积极将数百万不同规模的企业和求职者连接起来。ZipRecruiter 在 iOS 和 Android 上拥有评分最高的求职应用程序。
简介：
我们的团队有机会在大规模的应用程序和数据上工作，为数百万求职者和数以万计的客户提供服务。我们正在构建一个高效的求职者和雇主市场，需要高级数据工程师来构建快速、可扩展且有效的应用程序，流式和批量数据处理、机器学习基础设施以及其他各种系统，以帮助人们找到下一份工作。我们提供一项关键服务，并因此拥有了蓬勃发展的业务。
我们的技术栈复杂，我们寻找了解如何编写可扩展、正确监控和高效代码的工程师，作为不断增长的分布式系统的一部分。我们正在构建数据驱动的系统和应用程序，需要能够构建快速服务和流程的人，以支持我们用来改变人们生活的所有智能功能。
职责：
- 构建数据处理和探索管道以及机器学习基础设施，以支持我们的智能功能
- 部署一系列基于云的技术用于关键项目
- 编写、测试、监控并部署代码到我们的 Kubernetes 环境中
- 帮助推动 ZipRecruiter 的创新和演进
最低资格：
- 5 年以上专注于 Python 和大数据技术的专业软件开发经验
- 具有 Spark、Kafka、Hadoop、Hive 和/或其他大数据技术的经验
- 全面的计算机科学基础，包括编程、面向对象编程、数据结构和算法
- 具有容器化技术如 Docker 和/或 Kubernetes 的经验
优先资格：
- 8 年以上专注于 Python 和大数据技术的专业软件开发经验
- 数学、计算机科学、物理或相关技术领域的学士/硕士/博士学历或同等实践经验
- 具有数据工程或数据分析经验
查看英文原文
We offer a hybrid work environment. Most US-based positions can alsobeperformed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary:
Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. We’re working on building an efficient marketplace of jobseekers and employers and need senior data engineers to build fast, scalable, and effective applications, stream and batch data processing, ML infrastructure and a variety of other systems all to help connect people to their next job. We provide an essential service and have a thriving business as a result.
Our stack is complex and we’re looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We’re working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people’s lives.
Responsibilities:
- Build data processing and exploration pipelines along with ML infrastructure to power our intelligence
- Deploy a range of cloud-based technologies for critical projects
- Write, test, instrument, and deploy code to our Kubernetes environment
- Help drive the innovation and evolution of ZipRecruiter
Minimum Qualifications:
- 5+ years of professional software development experience with a focus on Python and big data technologies
- Experience with Spark, Kafka, Hadoop, Hive, and/or other big data technologies
- Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
- Experience with containerization technologies like Docker and/or Kubernetes
Preferred Qualifications:
- 8+ years of professional software development experience, with a focus on Python and big data technologies
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
- Experience with data integration tools like Apache Kafka, Flume, and NiFi
- Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
- Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks
As part of our team you’ll enjoy:
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
The US base salary range for this full-time position is $170,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:
Originally posted on Himalayas