出海雷达

数据工程经理

Data Engineering Manager

开发工程限定地区(需当地身份)
公司Spokeo
薪资未公开
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18 天前
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Spokeo:
Spokeo是一个人员智能平台,帮助超过1800万的月活跃用户重新联系朋友、与家人团聚,并在新关系中建立信任。数千家公司也信赖Spokeo的600亿条公开记录,以改善客户研究、验证信息并防止欺诈。
自2006年成立以来,Spokeo打造了一支专注的远程优先团队,平均任职时间为6.9年。它曾获得Comparably的认可,被评为薪酬最佳公司、员工幸福感最佳公司、福利和津贴最佳公司、对女性的支持最佳公司、工作与生活平衡最佳公司以及CEO领导力最佳公司。
关于这个机会
Spokeo正在寻找一名数据工程经理,协助构建最先进的分析平台。作为数据工程经理,你将直接向我们的数据工程总监汇报,并带领一个跨职能的数据工程师团队,交付高质量、可扩展的数据解决方案,满足我们的数据、报告和分析需求。你将提供领导力和技术能力,推动并实施数据治理、数据完整性、数据工程标准、数据集成和QA最佳实践。你将与我们的产品负责人紧密合作,理解需求,为团队提供技术指导,并确保高质量解决方案的及时交付。
你会做什么:

  • 带领和管理数据工程师,为我们的商业智能需求构建数据解决方案
  • 领导一个跨职能团队,构建最先进的数据分析平台
  • 与数据科学家、分析师、产品经理和高管合作,理解并满足我们的数据需求
  • 使用AWS技术领导数据库开发、数据管道、集成、ETL、建模和数据架构
  • 定义并管理所有数据集和报告流程的SLA
  • 开发软件工程最佳实践、指南、流程和可重复、可扩展的框架
  • 文档化、自动化并执行数据质量、数据完整性和QA最佳实践

你做过什么:

  • 7年以上商业智能和数据仓库经验
  • 5年以上云解决方案经验(AWS、Azure)
  • 5年以上大数据技术经验(Spark、Hadoop、MapReduce、Hive、Kafka)
  • 5年以上数据管道编排工具经验,如Airflow
  • 2年以上管理数据工程团队的经验,提供技术指导并指导数据工程师
  • 精通数据湖、数据仓库
查看英文原文

About Spokeo:
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo’s 60 billion public records to improve customer research, help verify information, and prevent fraud.
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About this Opportunity
Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.
What you’ll do:

  • Lead and manage data engineers to build data solutions for our business intelligence needs
  • Lead a cross-functional team in building a state-of-the-art data analytics platform
  • Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
  • Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
  • Define and manage SLA’s for all data sets and reporting processes
  • Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
  • Document, automate, and enforce data quality, data integrity, and QA best practices

What you’ve done:

  • 7+ years of experience in Business Intelligence and Data Warehousing
  • 5+ years of experience with cloud solutions (AWS, Azure)
  • 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
  • 5+ years of experience with data pipelines orchestration tools like Airflow.
  • 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.
  • Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
  • Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.
  • Expertise in RDBMS, SQL, query optimization, and security
  • A Bachelor’s degree in Computer Science, Information Management, or a related field
  • Attention to detail, excellent problem-solving ability, and strong communication skills

Working at Spokeo

Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:

  • annual bonus program
  • stock options
  • 401K matching
  • 100% medical/dental/vision coverage
  • unlimited PTO
  • mental health resources
  • paid home office equipment
  • fitness reimbursements
  • support paying for courses
  • and more

We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.
Privacy Notice for Candidates:
Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

该公司其他在招职位

高级数据工程师

SpokeoUnited StatesFull Time14 天前
开发工程限定地区(需当地身份)

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