SIX MONTHS • ONLINE • LIVE 1:1 MENTORSHIP • CAREER-FOCUSED
Data Engineering Bootcamp: Learn online, on your own time.
Switch careers to an in-demand tech role without quitting your job.
Companies of all sizes are now competing to hire data engineers who can manage their ever-growing infrastructure needs and help deliver value to the business.
In the U.S., we see an average salary of $113,259 with 9.3% growth over previous year.
Companies like Amazon, Accenture and Capital One are all trying to hire for this role at a large scale, and, as a result, the average time to fill for data engineers is 46 days.
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The bootcamp covers 400+ hrs of course work, with a combination of lectures, readings, projects, and career resources that are geared towards technologies used by the most data-forward companies.
In this module, you will learn Hadoop and Apache Spark. Employers including Amazon, eBay, NASA JPL, and Yahoo use Spark to quickly extract meaning from massive data sets across fault-tolerant Hadoop clusters.
This module introduces you to the fundamentals of cloud computing and then teaches you to design data-intensive applications using various cloud components
In this module, you will learn an open-source platform to programmatically author, schedule, and monitor workflows in Apache Airflow. You will learn to design high-performing data pipelines and make sure they run well by monitoring the underlying resources
You will learn how to use Docker, a widely-used platform that developers and administrators use to build, ship, and run distributed applications. You will also learn about Kubernetes, a production-grade system for managing complex applications using containers
In this module, you will learn how to use Apache Kafka, which is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart and LinkedIn.
This section helps you build a strong foundation in data skills like data warehousing and data modeling which are important in order to decide the best way to store and retrieve data
You’ll learn how to write efficient Python code, a critical skill for any data analyst, data scientist, or data engineer. You will learn concepts such as functional programming, closures, decorators, and more
Career-focused resources are paired with 1-on-1 coaching calls to help you land your dream job. You’ll have 7 scheduled calls, with access to more. Full career support continues for six months after completing our online data engineering course.
This data engineering bootcamp was designed for students with some experience in a data analyst, data science, or software engineering role.
Prerequisites (any of the following are sufficient):
The Data Engineering Career Track is a 6-month program. Most students devote 15-20 hours a week to complete the course. You can complete the course earlier by putting in more time per week.
The full tuition of the program is $8,940. If you pay upfront for the program, you get a 16% discount. Remember, if you don’t get a job within 6 months of completion, you’ll receive a full refund. See job guarantee eligibility terms
Springboard is the best value bootcamp that gets you from beginner to job-ready for data engineering roles, while learning on your own time.
Secure your spot now. Seats are limited, and we accept qualified applicants on a first come, first served basis.
You should have a strong analyst or software engineering background, and should be proficient in SQL and Python. If you do not meet these requirements, you may want to consider our Data Analytics Career Track instead.
There are four payment options (all of which come with our job guarantee as long as you meet eligibility requirements):
All charges will be in USD (based on the above prices). If you reside outside the U.S., this might carry an additional transaction fee, depending on the bank you use. We display prices in your local currency to give you an estimate of how much you will pay based on prevailing exchange rates, excluding transaction fees.
Azure credits: Students in the Data Engineering Career Track will be reimbursed up to $150 USD for the cost of using Azure as part of the program. Students must email our Support team to request this refund at the point of exiting the course (either when they complete, or if they withdraw) and include any receipt(s) to verify their Azure payments. This refund will be processed as a refund to the credit card used to pay for tuition fees.
Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process. The first step involves a 10-15 minute questionnaire to learn about your prior educational and work experience. Based on your responses, we might ask for additional information - e.g. a brief phone interview, or a quick data and coding skills survey - just to make sure the Data Engineering Career Track is a good fit for you.
Yes! Finance your tuition with a loan from our partner Climb Credit. If approved, you can start by paying as little as $52 - $104 per month.
We do also have a Deferred Tuition payment plan. With this payment plan, you will pay an initial upfront deposit ($700) at the time of enrollment. You won't pay anything else until you get a job, at which point you'll owe a flat fee of $11,800 which is paid back by monthly payments of $328/month over 36 months.
You can also choose to pay back the loan sooner than 36 months, for which there would not be any prepayment penalties. In such a case, the total amount paid would be less than $11,800, with the exact figure depending on how far you are into the loan and what principal balance remains.