Prepare for a job as an entry-level

Data Engineer

Status: 100% online

Status: Learn at your own pace

Status: No experience required

$130,000 median salary*

74,302 jobs available*

If you like working with numbers, identifying patterns and problem solving this role is for you.

As a Data Engineer, you'll design and build systems for collecting, storing, and analyzing data at scale. Your goal is to convert raw data into usable information for data scientists and data analysts to interpret. You will acquire datasets, develop algorithms to transform data, and build, test and maintain databases. Data engineers rely on strong programming and problem-solving skills to create scalable solutions to work with large volumes of data from many sources.

* Median salary and job opening data are sourced from United States Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (1/1/22-12/31/22)

Top 6 skills needed for Data Engineer

Category: SQL

Category: Python

Category: Extraction Transformation and Loading (ETL)

Category: Big Data

Category: Data Warehousing

Category: Data Engineering

Common job titles

Data Engineer
Big Data Engineer
Azure Data Engineer

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Develop job-ready skills at your own pace

Professional Certificates are your fast-track to this career. No experience required.

Meta Database Engineer

Meta

Professional Certificate

Meta Database Engineer

Want to get started in the world of database engineering? This program is taught by industry-recognized experts at Meta. You’ll learn the key skills required to create, manage and manipulate databases, as well as industry-standard programming languages and software such as SQL, Python, and Django used for supporting outstanding websites and apps like Facebook, Instagram and more. In this program, you’ll learn: Core techniques and methods to structure and manage databases. Advanced techniques to write database driven applications and advanced data modeling concepts. MySQL database management system (DBMS) and data creation, querying and manipulation. How to code and use Python Syntax How to prepare for technical interviews for database engineer roles. Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.

Instructor:

Taught by Meta Staff

76,320

learners currently enrolled globally

4.6

(2,292 ratings)

Average: 11 months (3 hours/week)

9 courses

Average: 11 months (3 hours/week)

9 courses

Skills you'll gain

Computational Thinking, Command-Line Interface, Algorithms, Unit Testing, Query Languages, Data Warehousing +62 more

IBM Data Engineering

IBM

Professional Certificate

IBM Data Engineering

Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months. Data engineering is building systems to gather data, process and organize raw data into usable information, and manage data. The work data engineers do provides the foundational information that data scientists and business intelligence (BI) analysts use to make recommendations and decisions. This program will teach you the foundational data engineering skills employers are seeking for entry level data engineering roles, including Python, one of the most widely used programming languages. You’ll also master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects. You’ll learn to use Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You’ll also work with Relational Databases (RDBMS) and query data using SQL statements and use NoSQL databases as well as unstructured data. When you complete the full program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support. This program is ACE® recommended—when you complete, you can earn up to 12 college credits.

Instructors:

Rav Ahuja +16 more

136,317

learners currently enrolled globally

4.7

(6,250 ratings)

Average: 14 months (4 hours/week)

13 courses

Average: 14 months (4 hours/week)

13 courses

Skills you'll gain

Web Scraping, Data Store, Apache Hadoop, Professional Networking, Data Analysis, Generative AI +106 more

Practice with tools used by Data Engineer

With Guided Projects, you can quickly build new job skills by using the latest tools and following side-by-side recorded video guidance from expert instructors.

Status: New
Coursera
Creating Azure Serverless Functions in a Real-World Scenario
Guided Project
Status: New
Coursera
Linux: Introduction to Shell Scripting for DevOps
Guided Project
Status: New
Coursera
Storing, Retrieving, and Processing JSON data with Python
Guided Project
Status: New
Coursera
Create a Database with the Modeling Tool in MySQL Workbench
Guided Project

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