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北京 python 招聘(工资待遇要求)

南京悦能智能科技有限公司 python salary range: 30K - 50K, where 100% of positions earn ¥30-50K
¥30-50K
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.

南京悦能智能科技有限公司 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 南京悦能智能科技有限公司 require for python positions? 本科占比最多,占100%

Salary by education

南京悦能智能科技有限公司 python salaries by education: 本科 ¥40.0K.

Experience requirements: 5-10年 is the most common

What experience does 南京悦能智能科技有限公司 require for python positions? 5-10年占比最多,占100%

Salary by experience

南京悦能智能科技有限公司 python salaries by experience: 5-10年 ¥40.0K.

python hiring regions: mainly 北京

In which cities does 南京悦能智能科技有限公司 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 南京悦能智能科技有限公司 in the past year
  • python爬虫工程师(双休,入职买五险一金)

    北京-昌平区 | 5-10年 | 本科以上 | 2026-01-27
    1.8-2.2万
    国家电投外包岗位,长期稳定,入职签三年劳动合同
    上班时间:朝九晚五(8小时制),双休,法定节假日正常休假+多调休1天带薪年假
    福利:入职购买五险一金,享有五天带薪年假
    硬性条件:学信网可查本科或以上学历,5年爬虫相关工作经验
    工作内容:
    1.参与分布式数据采集平台的架构设计与研发落地。
    2.负责和产品进⾏需求对接,开发数据采集脚本。
    3.负责现有数据采集平台和爬⾍脚本的维护⼯作,保证数据稳定、⾼效的采集。
    任职条件:
    1. 本科以上学历,5年爬虫相关⼯作经验;
    2.熟练掌握python语⾔;⽤过⾄少⼀种爬⾍框架,如scrapy、feapder等,具备⾃研爬⾍框架经验者优先考虑。
    3.熟练掌握SQL语⾔及⾄少⼀种关系型数据库,熟练掌握Redis。
    4.熟练掌握⾄少⼀种⾃动化测试框架,例如playwright、selenium、chromedp等。
    5.有web系统逆向⼯程经验及反爬⾍经验者优先考虑。
    6.具备基础的运维能⼒。
    More

南京 python salary

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How much does 南京 python pay? 10-15K is the most common
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