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北京 python 招聘(工资待遇要求)

云图知行(北京)科技有限公司 python salary range: 20K - 50K, where 100% of positions earn ¥20-50K
云图知行(北京)科技有限公司 python salary range: 20K-50K, the most positions earn 20-30K, based on 2 related positions in the past year, as of 2026-08-25
¥20-50K
100% of positions earn

Note: the average salary is analyzed based on job postings published by the company. We recommend reviewing it together with position type, education, region and experience.

云图知行(北京)科技有限公司 python salary changes over the years

Note: the data depends on salary samples of online job postings in the corresponding years and does not fully represent the actual situation within the company. For reference only.

Education requirements: 本科 is the most common

What education does 云图知行(北京)科技有限公司 require for python positions? 本科占比最多,占100%

Salary by education

云图知行(北京)科技有限公司 python salaries by education: 本科 ¥32.5K.

python hiring regions: mainly 北京

In which cities does 云图知行(北京)科技有限公司 have offices for python positions? The main distribution is as follows: 北京 accounts for 100%. Click this module to view the proportions of other cities, based on job postings in the past year. For reference only.

python hiring trends over the years

python changes in hiring volume over the years

北京 python related job postings

Based on related job postings of 云图知行(北京)科技有限公司 in the past year
  • python全栈工程师

    北京-海淀区 | 不限经验 | 本科以上 | 2026-02-17
    20000-35000
    岗位职责:
    1. 设计并搭建自动化、可扩展的地图数据生产流程平台,包括数据接入、清洗、转换、质检、融合、发布等环节;
    2. 开发和维护用于地图数据处理的 Python 工具链与服务,提升数据处理效率与质量;
    3. 与地图工艺工程师、算法工程师、前端/后端开发团队协作,推动地图数据产品落地。

    任职要求:
    1. 精通python,熟悉Fastapi、flask等web框架,了解ORM与数据库基础原理;
    2. 有React 或 Vue前端开发经验,有maplibre相关开发经验;
    3. 计算机、地理信息(GIS)、测绘或相关专业本科及以上学历;
    4. 精通Python 编程,熟悉常用数据处理库(如Pandas、NumPy、GeoPandas、Shapely)及异步/并发编程;
    5. 具备良好的沟通能力和团队协作精神,能快速理解地图生产工艺逻辑。

    加分项:
    1. 从事过地图行业以及相关项目研发;
    2. 了解过常见的任务流相关框架。
    More
  • python全栈开发工程师

    北京-海淀区 | 3-5年 | 本科以上 | 2026-03-30
    20000-40000 򀀩

北京 python salary

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How much does 北京 python pay? 30-50K is the most common
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