远程工作雷达

高级数据工程师(团队负责人)

Senior Data Engineer (Team Lead)

开发工程限定地区(需当地身份)
公司Teams Squared
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。

这是一个远程职位。
地点:远程办公
关于TeamsSquared:
我们是一家团队增强公司,致力于将卓越的远程人才与全球组织相连接。
职位描述:
我们正在寻找一位经验丰富的数据工程师团队负责人,以领导一项长期客户项目。理想的候选人应具备分布式数据处理工具的深厚技术知识,特别是在Kafka、Spark和Hadoop方面有专业技能。拥有BigQuery经验者优先。此职位需要有实际的领导能力,包括指导工程师、推动项目成功以及向利益相关者有效传达技术解决方案的能力。
作为工程职能中的关键领导者,您将负责架构决策、数据管道优化,并在动态的全远程环境中指导跨团队协作。
职责:

  • 领导数据工程师团队,并亲自参与可扩展数据管道的设计和开发。
  • 使用Kafka、Spark和Hadoop构建、实现和优化大规模流式和批处理数据解决方案。
  • 监督数据基础设施的部署和监控,确保性能和可靠性。
  • 与产品、分析和工程团队合作,定义数据需求并推动数据战略。
  • 指导和培养初级工程师,并为团队文化、流程和质量标准做出贡献。
  • 确保数据治理、安全和合规的最佳实践。
  • 推动并实施数据工程标准和工具的改进。

要求

  • 6年以上数据工程经验,包括最近的领导或团队负责人角色。
  • 精通Apache Kafka、Apache Spark和Hadoop生态系统。
  • 具有云数据平台的实际操作经验;有BigQuery经验者优先。
  • 在领导技术团队并大规模交付复杂数据解决方案方面有成功案例。
  • 强大的问题解决、调试和性能调优能力。
  • 优秀的沟通和领导能力,有管理团队工作流程和利益相关者期望的经验。
  • 计算机科学、工程或相关领域的学士或硕士学位。

福利
· 完全远程工作

  • 竞争性薪酬,以外币支付
  • 定期开展培训和职业发展计划。

在Teams Squared,我们与具有前瞻性思维的组织合作,重视能够带来积极影响的个人。

查看英文原文

This is a remote position.
Location: Remote
About TeamsSquared:
We are a team augmentation company dedicated to connecting exceptional remote talent with global organizations.
Job Description:
We are seeking a highly experienced Data Engineer Team Lead to spearhead a long-term client engagement. The ideal candidate will bring deep technical knowledge in distributed data processing tools, with specific expertise in Kafka, Spark, and Hadoop. Experience with BigQuery is highly desirable. This role demands proven leadership capabilities, including the ability to mentor engineers, drive project success, and communicate technical solutions effectively to stakeholders.
As a key leader in the engineering function, you will take ownership of architectural decisions, data pipeline optimizations, and guide cross-functional collaboration across teams in a dynamic, fully remote environment.
Responsibilities:

  • Lead a team of data engineers and contribute hands-on to the design and development of scalable data pipelines.
  • Architect, implement, and optimize large-scale streaming and batch data solutions using Kafka, Spark, and Hadoop.
  • Oversee the deployment and monitoring of data infrastructure for performance and reliability.
  • Collaborate with product, analytics, and engineering teams to define data needs and drive data strategy.
  • Coach and mentor junior engineers and contribute to team culture, process, and quality standards.
  • Ensure best practices for data governance, security, and compliance.
  • Advocate for and implement improvements in data engineering standards and tooling.

Requirements

  • 6+ years of experience in data engineering, including recent leadership or team lead roles.
  • Expertise in Apache Kafka, Apache Spark, and Hadoop ecosystems.
  • Hands-on experience with cloud data platforms; BigQuery experience preferred.
  • Demonstrated success in leading technical teams and delivering complex data solutions at scale.
  • Strong problem-solving, debugging, and performance tuning skills.
  • Excellent communication and leadership skills, with experience managing team workflows and stakeholder expectations.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Benefits
· Fully remote work

  • Competitive compensation package paid in foreign currency
  • Regular initiatives for training and professional development.

At Teams Squared, we collaborate with forward-thinking organizations and value individuals who bring both expertise and initiative. If you’re looking for meaningful work and a chance to grow professionally, we’d love to hear from you.
Note: Only candidates who make it to our shortlist will be contacted for furtherdiscussions.
TeamsSquaredis aproudequal opportunity employer. We value diversity and are consistently committed to creating an inclusive environment for all team members.

Originally posted on Himalayas

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