Data Engineering

Data Engineer Real Project Course

US Online

Have you been struggling to land a data scientist job even though you’ve completed an online certification course, graduated from a bootcamp, or received a Master’s degree in data science? Do you struggle with resumes and interviews because you lack real project experience? Are you planning to switch jobs and realize that you don’t have much relevant experience on your resume? Do you feel less confident because you don’t have the right feedback that could point you at the right direction?

At a Glance
Advanced
What you will learn

The client project program comes with a 6-month real project training plus an additional 6 months of career mentorship. Your mentor will help you set a clear path, create a job search plan, and your client project manager will guide you to build the right experience that will get you many interviews.

Summary
Close the experience gap and differentiate yourself
The support you need to be successful in job search
Know how to improve your interview skills
Leverage WeCloudData's referral network

Full-time, Part-time

Self-paced

6 months

About the Course

Under the mentorship and guidance of WeCloudData’s career mentors as well as project managers, you learn to build up your real project experience and gain the confidence and necessary background to land your dream job in Data Engineering.

FOR THOSE WHO WANT TO
Stand out in the job market with real project experience
Close the lack of real experience gap in your resume
Work with a career mentor who is an actual data expert
Better their chance to landing a dream job in data engineering
100%
placement rate
95%
student satisfaction
10+
interviews
83K
base salary
Our alumni are working at

Differentiation with Real Client Project Work

Build high-impact analytics solutions for clients
What you will work on
  • Work closely with client's data platform and technology team to define data pipeline requirements
  • Extract data from databases and write queries to clean and transform data for analysis
  • Use workflow automation tools such as Airflow, Step Functions to build data pipelines
  • Work with data architect on data modeling and engineering of data lake solutions
  • Write reusable and testable code that can be deployed in docker containers
  • Learn project management skills (Agile, Jira, Confluence)
  • Learn how to work in a team and add real experience to the resume

Resources

Watch our recorded webinar and learn more about career and industry insights.
Why WeCloudData?
Career Services

1-1 career mentoring by real data experts

6-month mentorship after graduation
Receive one-on-one (1-1) counseling to set your career goals, assist your job search, and track your progress.
Networking
Build up your industry network through guest seminars, hiring panel discussions, and hiring partner demo workshops.
Portfolio & resume revision
Build a resume and professional data portfolio to demonstrate your skills and robust professional experience. Get professional profile pictures shot by a commercial photographer, and polish your online professional brand with blogs and LinkedIn.
Interview preparation
Prepare for your behavioural interviews through professional communication coaching. Set yourself apart in technical interviews by doing one-on-one mock interviews, take-home assignments, whiteboarding, and technical challenges.
student stories

Success Stories

I worked on a Knowledge Graph project for a healthcare startup and a big data project for a media company. I learned and practiced many big data skills – previously my focus was on the machine learning side, but to be a good data scientist, you need to know how to work with big data tools like AWS and Spark. Knowing the technologies/tools in theory is not enough, it’s very different from when you actually have to do it. Regular course work doesn’t work with a large dataset but these client projects do. Those two projects both used Spark so it was really helpful.
David Tian
Data Engineer Client Project 2020
Tuition & Financing Options

Speak to our advisor

Our Program Advisor can answer all your questions and help you pick a program that best suits your need. You can leave your information and we will contact you.

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Admission Process

Step 1

Book a
Counseling Meeting

Our program advisor will have a 1-on-1 meeting with you to see if the program is a good fit for you. There is no application fee. It takes about 30 minutes.
Step 2

Pass the
Challenge

There will be a technical challenge and an interview. In this data challenge, you will be tested on the following skills: Python, SQL, Data Exploration, Machine Learning
Step 3

Reserve the Spot &
Sign the Contract

Our admission officer will work with you directly to help you fill out a contract and process your payment.
Step 4

Start your
Pre-bootcamp Learning

According to your interests and results from the challenge, your project manager will assign you to a project that suits you the best.

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Data Engineer Real Project Course

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Our Program Advisor team will reach out to you to schedule an online meeting. Please note that meeting time is in Eastern Time (ET).