Top 10 Highest Paying Tech Jobs in 2020

We live in a time of great change career-wise; jobs are lost to automation and others are changing what skills are required. With changes like these in the market, you may be considering a shift to a career in technology or, perhaps, you’re already in the field and want to advance. Whatever your reason, we’ve pulled together a list of the 10 highest paying tech jobs in 2020 for you.

Highest-Paying Tech Jobs

10. Product Manager

Product managers, not to be confused with project managers, are an essential part of any business in technology. A product manager is responsible for determining the strategy and team member coordination in relation to a product build. Product managers not only define who will work on a project but also help their team to define the scope of the project and the milestones during the engineering process. This role is essential for product development from conception to launch. Some of the skills required for a product manager are: 

  • A strong understanding of the concept of Product Lifecycle Management (PLM)
  • Knowledge of product management tools like PivotalTracker, JIRA, and Asana
  • Strong analytical skills
  • Exceptional time management skills

Product managers are responsible for delivering an operating plan that can help achieve strategic and tactical goals and objectives, building a product portfolio, manage and implementing marketing activities, and contributing to the product strategy and its vision.

The average yearly salary of a product manager is $100,000.

9. Artificial Intelligence (AI) Engineer

An Artificial Intelligence (AI) engineer develops, manages, and oversees AI initiatives within an organization. Some say it will soon rival data scientists in need of skilled professionals. 
An AI engineer should have a deep knowledge of mathematics and statistics. In addition, an AI engineer will: 

  • Have solid programming skills and know Python, R, and Torch
  • Understand how TensorFlow and other similar technologies work
  • Have a clear understanding of technologies related to AI, including Machine Learning, Neural Networks, and Deep Learning

The average yearly salary of an AI engineer is $119,000.

Our Artificial Intelligence Career Guide will give you insights into the most trending technologies, the top companies that are hiring, the skills required to jumpstart your career in the thriving field of AI, and offers you a personalized roadmap to becoming a successful AI engineer. Check now!

Artificial Intelligence Career Guide

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Artificial Intelligence Career Guide

8. Full-Stack Developer

It is difficult to pin down a definition for a full stack developer, but the closest description would be someone who is well-versed in both front-end and back-end development or someone with skills in every stage of development. Regardless of the variety of definitions, 2017 saw more demand than ever for these professionals. 
Some of the knowledge and skills required to become a full-stack developer are:

  • Technologies such as MongoDB, Express.js, AngularJS, and Node.js
  • How to design and develop an API
  • Coding and scripting
  • The fundamentals of web development
  • Basics of database technologies

A full-stack developer is usually responsible for designing and building APIs using MEAN stack technologies, ensuring the applications created are responsive and keep to the required standards, making sure the created code has integrity intact and implementing data security. This is also a major reason for a full-stack developer role to be considered as one of the highest-paying tech jobs globally.

The average yearly salary of a full stack developer is $110,000.

7. Cloud Architect

A cloud architect deploys and oversees an organization’s cloud computing strategy. Some of the skills and knowledge required by a cloud architect include:

  • A thorough understanding of cloud application architecture
  • Knowledge of Amazon Web Services (AWS) and Azure
  • Good communication skills

A cloud architect typically is responsible for developing cloud architecture, developing a cloud strategy and coordinating the implementation and deployment of it, and ensuring application architecture and deployments in the cloud environment are done properly. 

The average yearly salary of a cloud architect is $118,000.

Learn more about becoming a cloud architect.

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Cloud Computing Career Guide

6. DevOps Engineer 

A DevOps engineer is not a clearly defined role. It could refer to someone on the development team taking part in the deployment and network operations, or to someone from the operations team working on application development. Some of the skills required of a DevOps engineer include:

  • Coding and scripting
  • Understanding deployment and network operations
  • Familiarity with DevOps
  • DevOps tools like Git and Jenkins 
  • Knowledge of Linux or Unix system administration

A DevOps engineer might be responsible for designing and maintaining a deployment infrastructure, integrating cloud services so that processes can be automated, or shell scripting in PHP/Python and Ruby.

The average yearly salary of a DevOps engineer is $123,000.

Learn more about becoming a DevOps engineer.

5. Blockchain Engineer

A blockchain engineer specializes in developing and implementing architecture and solutions using blockchain technology. Due to the rapid rise of this technology, we already have a shortage of trained professionals for this role. 

A blockchain engineer should have solid programming skills and a thorough understanding of the technologies behind Ripple, R3, Etherium, and Bitcoin as well as consensus methodologies and the security protocol stacks, crypto libraries, and functions.

The average yearly salary of a blockchain engineer is $130,000.

Learn more about becoming a blockchain engineer.

4. Software Architect

A software architect optimizes the development process by making design choices and dictating technical standards such as coding, tools, and platforms. As part of their role, they identify a customer’s requirements and perform hands-on work to develop prototypes. 
Some of the skills required of a software architect include: 

  • Data modeling
  • An understanding of software architecture
  • Good programming skills
  • Strong analytical skills

The average yearly salary of a software architect is $130,000.

3. Big Data Engineer

A Big Data engineer plans to design and manages the entire lifecycle of large-scale developments and deployments of Big Data applications. Some of the skills required of a Big Data engineer include:

  • Understanding Hadoop, Spark, and NoSQL, as well as data warehousing technologies 
  • Programming skills 
  • Data visualization skills
  • Excellent communication skills

The average yearly salary of a Big Data engineer is $140,000.

Our Big Data Career Guide will give you insights about the top companies that are hiring Big Data pros, the skills required to excel in your Big Data career, and offers you a personalized roadmap to becoming a successful Big Data engineer. Explore now.

Big Data Career Guide

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Big Data Career Guide

2. Internet of Things (IoT) Solutions Architect

The IoT solutions architect is a leadership role in overseeing the strategy behind the development and deployment of IoT solutions. In addition to understanding IoT solutions, one should also have strong programming skills, an understanding of Machine Learning, and knowledge of hardware design and architecture. With such a huge diversity of skills under a leadership role, IoT solutions architect definitely makes it to one of the highest-paying tech jobs in the market.

An IoT solutions architect is responsible for leading as well as participating in the activities around architecture and design, helping to develop an overall IoT ecosystem engagement based on the IoT Solution Framework, and translating business needs into solution architecture requirements.

The average yearly salary of an IoT solutions architect is $133,000.

1. Data Scientist

A data scientist analyzes and interprets complex data to help organizations make better and more timely decisions. A data scientist should be able to:

  • Understand Machine Learning algorithms
  • Create data models
  • Code in languages like Python, R, SAS, and other analytical tools
  • Identify business issues and provide appropriate solutions

The average yearly salary of a data scientist is $141,000.

Our Data Science Career Guide will give you insights about the most trending technologies, the top companies that are hiring data pros, the skills required to jumpstart your career in the thriving field of Data Science, and a personalized pathway to becoming a Data Scientist. Check out now!

Data Science Career Guide

A Comprehensive Guide To Becoming A Data ScientistDownload Now
Data Science Career Guide

Future-Proof Your Career with a Certification

Although these are 10 of the highest-paying tech jobs, plenty of other fields like cybersecurity and digital marketing are short on skilled professionals so keep looking if none of the careers described above appeal to you. If one of them does sound like a domain you’d like to transition into, keep in mind that you won’t necessarily have to go back to school to do so. You can pursue certifications through online learning and begin the process of training for one of these new roles and follow the money into one of these highest paying jobs! 

About the Author

Nikita DuggalNikita Duggal

Nikita Duggal is a passionate digital nomad who's working with Simplilearn as a Content Writer. She's a major in English language and literature, a word connoisseur who loves writing about raging technologies, digital marketing, and career conundrums.

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