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Intern Data Engineer

The Roof, Room 201, Building D, No. 458 Madang Road, Huangpu District, Shanghai 200002

Open 6 months, first seen by us 204 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Internship — employment source
Employment type in the employer’s posting: Internship
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Intern Data Engineer

What you’ll work on

Full posting
  • Help deliver client data projects with senior Data Engineers

  • Work with consulting counterparts to build client relationships and understand needs

  • Deliver Data Lake and Big Data projects covering ingestion and model deployment

  • Research and develop new technical approaches to solve problems efficiently

  • Share best practices and give feedback and mentoring to the team

From the employer’s posting
Help securing delivery on projects with Data Engineer
Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)
Researching and developing new technical approaches to address problems efficiently
providing feedback and mentoring
Education & alternatives
Qualifications :Education and Experience ● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields ● Solid knowledge of computer science, data processing and data architecture

Tools in this posting

  • JavaScript
  • Python
  • SQL
  • BigQuery
  • Hadoop
  • Hive
  • Kafka
  • Redshift
  • Spark
Source — Tool mentions in context
● Skills in Python, Linux, SQL, Spark, Hive ● BigQuery/ Redshift, Devops and Javascript is a plus
● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact ● Skills in Python, Linux, SQL, Spark, Hive ● BigQuery/ Redshift, Devops and Javascript is a plus
● Embodying Artefact’s values and inspiring others to do the same ● Experience working with Big Data technologies such as Hadoop, Spark, Kafka... ● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)

Posting record

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Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 15, 2026204 days ago
Recorded sightings
213
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 204

Up longer than most. Similar jobs usually come down between day 6 and day 54.

Well past Artefact’s usual: its jobs come down by about day 36.

From 11,224 similar postings that came down, and 27 of Artefact’s. Coming down is not always a hire.

Artefact is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

Your next step

Check the employer’s posting for the current role and application details.

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  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

What you will be doing:

Key responsibilities


As a Data Engineer Intern, your role will encompass:


● Supporting to conduct ambitious projects in the transformation of clients through data

● Collaborating with the consulting and data team to provide comprehensive services to clients

● Using your technical abilities to assist in the transformation of clients’ marketing department


Among your responsibilities as a Data Engineer Intern, you will be responsible for:


● Help securing delivery on projects with Data Engineer

● Communicating the success of projects among the company

● Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs

● Ensuring that your solutions are bringing values to the client problematic

● Being a good team player, knowing your role and responsibility in the global ambition

● Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring

Being a great tech person


● Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives

● Researching and developing new technical approaches to address problems efficiently

● Sharing best practices and contributing to Artefact’s institutional knowledge

● Embodying Artefact’s values and inspiring others to do the same

● Experience working with Big Data technologies such as Hadoop, Spark, Kafka...

● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)

● Being able to adapt your solutions and approaches to technical environment (security, access, tools)

 

Qualifications :Education and Experience


● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields

● Solid knowledge of computer science, data processing and data architecture

● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

● Skills in Python, Linux, SQL, Spark, Hive

● BigQuery/ Redshift, Devops and Javascript is a plus

 

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

The Roof, Room 201, Building D, No. 458 Madang Road, Huangpu District, Shanghai 200002

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

AI answers unavailable

We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting