初级前线部署工程师
Associate Forward Deployed Engineer
职位名称：初级前向部署工程师
职位类型：全职
工作地点：远程
职位描述
我们正在招聘初级前向部署工程师，以支持数据采集和客户数据运维。
你将与FDE（前向部署工程师）一起执行限定范围的技术流程：准备和传输数据、监控数据采集任务、验证结果、沟通状态并上报问题。
这是一个初级的按小时计酬的职位，适合技术能力强、可靠且能按照明确流程和指导工作的工程师。
你将负责
- 对客户数据集进行大小评估、准备和传输。
- 执行并监控数据采集流程。
- 验证传输结果并识别差异。
- 与客户和内部团队沟通状态、障碍和后续跟进。
- 保持清晰的交接和操作文档。
- 识别流程中的缺口或异常行为，并在需要时上报。
- 仔细处理敏感的客户数据。
我们希望你具备
- 强烈的责任心和细致的关注力。
- 技术能力以及快速学习新工具的能力。
- 熟悉Python、SQL、API或数据流程。
- 清晰简洁的书面沟通能力。
- 能够遵循操作手册并在超出手册范围时识别出来。
- 在客户数据和生产系统方面有良好的判断力。
- 能够胜任限定范围的按小时工作，保持可靠性和可用性。
加分项
- 有处理大型数据集或数据管道的经验。
- 熟悉云存储和数据传输流程。
- 有使用命令行工具、Git或Linux环境的经验。
- 接触过ETL、数据采集、验证或质量保证流程。
- 有使用日志和监控工具调试技术问题的经验。
- 熟悉常见的数据格式，如JSON、CSV或Parquet。
- 有在初创公司、技术运维、实施或客户支持工程环境中的经验。
最初发布于Himalayas
查看英文原文
Job Title: Associate Forward Deployed Engineer:
Job Type: Full-time
Location: Remote
The Role
We’re hiring Associate Forward Deployed Engineers to support data ingestion and customer data operations.
You’ll work alongside FDEs to execute scoped technical workflows: preparing and transferring data, monitoring ingestion jobs, validating results, communicating status, and escalating issues.
This is a junior, hourly role for engineers who are technical, reliable, and comfortable operating with clear processes and guidance.
What You’ll Do
- Size, prepare, and transfer customer datasets.
- Execute and monitor data ingestion workflows.
- Validate transfer results and identify discrepancies.
- Communicate status, blockers, and follow-ups with customers and internal teams.
- Maintain clear handoffs and operational documentation.
- Identify gaps or unexpected behavior and escalate when needed.
- Handle sensitive customer data with care.
What We’re Looking For
- Strong ownership and attention to detail.
- Technical aptitude and ability to learn new tools quickly.
- Familiarity with Python, SQL, APIs, or data workflows.
- Clear, concise written communication.
- Ability to follow runbooks and recognize when something falls outside them.
- Good judgment around customer data and production systems.
- Reliability and availability for scoped, hourly work.
Nice to Have
- Experience working with large datasets or data pipelines.
- Familiarity with cloud storage and data transfer workflows.
- Experience with command-line tools, Git, or Linux environments.
- Exposure to ETL, data ingestion, validation, or QA workflows.
- Experience debugging technical issues using logs and monitoring tools.
- Familiarity with common data formats such as JSON, CSV, or Parquet.
- Experience in a startup, technical operations, implementation, or customer-facing engineering environment.
Originally posted on Himalayas