Systems Engineer

A System Engineer is a multidisciplinary professional responsible for designing, integrating, and managing complex systems over their life cycles. They optimize scientific, technological, and human resources to meet the needs of stakeholders.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Systems Engineer

Indeed
Market
National (USA)
Base Salary
$105,423 / year
Satisfaction
62%
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Systems Engineer is $105,423 / year according to Indeed.com

There are no updated reports for Systems Engineer salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Systems Engineer role may have an alternate title depending on the company. To find more information, you can check Indeed.com.

Career Information

As a Systems Engineer, you will be responsible for designing, implementing, and managing computer systems for organizations. You will need a strong understanding of system architecture and administration, as well as experience with operating systems and network protocols. Strong problem-solving and communication skills are essential, as you will be responsible for troubleshooting issues and providing technical support.

The average salary for Systems Engineer is $105,423 / year according to Indeed.com
AI Disclaimer
The following text about the Job role of Systems Engineer has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

The Systems Engineer is a crucial member of the IT team, responsible for designing, implementing, and maintaining the organization's computer systems, including hardware, software, and networks. They work closely with other IT professionals, such as developers and administrators, to ensure that the systems are well-functioning and secure.

The Systems Engineer's primary responsibilities include:

  • Designing and implementing computer systems, including hardware, software, and networks
  • Testing and troubleshooting systems to ensure they are working properly
  • Maintaining and updating systems to ensure they are secure and up-to-date
  • Collaborating with other IT professionals, such as developers and administrators, to ensure the smooth functioning of the systems

The Systems Engineer must have a strong understanding of computer systems and networks, as well as experience working with a variety of hardware and software. They must also be able to work effectively with others and be able to communicate complex technical information in a clear and concise manner.

Some of the most important skills for a Systems Engineer include:

  • Strong understanding of computer systems and networks
  • Experience working with a variety of hardware and software
  • Ability to work effectively with others
  • Excellent communication and problem-solving skills
  • Ability to work independently and manage multiple projects at once

If you are interested in becoming a Systems Engineer, there are a few things you can do to prepare yourself. First, you can obtain a degree in a related field, such as computer science or engineering. Second, you can gain experience working with computer systems and networks through internships or other hands-on opportunities. Finally, you can develop your communication and problem-solving skills through activities such as writing or working with others.

With the right preparation and skills, you can become a successful Systems Engineer and play an important role in the IT team.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

AWS Certified Machine Learning — Specialty Certification

MLS-C01

The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

Advanced
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Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

Advanced
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AWS Certified Data Analytics — Specialty

DAS-C01

The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

Advanced
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Microsoft Certified: Azure AI Engineer Associate

AI-102

The Azure AI Certification is a high-ROI program designed for professionals who are passionate about building, managing, and deploying AI solutions using Azure Cognitive Services and Azure services.

Intermediate
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Databricks Certified Data Engineer Associate

The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.

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AWS Certified Database — Specialty

DBS-C01

The AWS Database Certification — Specialty program is intended to validate candidates' expertise in recommending, designing, and implementing AWS cloud-based relational and NoSQL database systems.

Advanced
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Microsoft Certified: Azure Data Scientist Associate

DP-100

The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.

Intermediate
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Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Model-Based Systems Engineering - MBSE

Professional

Advanced Cloud Engineer Bootcamp

Mentorship

This advanced cloud engineering bootcamp is for aspiring cloud engineers to develop a specialty for developing and operating cloud-based applications and services.

Meta Database Engineer Professional Certificate

Professional

Data Engineer Career Track

Nanodegree

This career track is designed for beginners to learn Python basics, build data architecture, streamline processing, and maintain large-scale systems. Participants will develop pipelines, automate tasks, and construct high-performance databases using Shell, SQL, and Scala.

Data Engineering for Data Scientists

Nanodegree

This Nanodegree program teaches you how to access data silos, extract information from various sources, and streamline it into functional formats for analysts and high-level decision-makers. You will have the opportunity to create an impressive, machine learning-driven web application with significant real-world, life-saving implications.

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ONAP Fundamentals (LFS263)

Training

Linux Kernel Internals and Development (LFD420)

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Developing Linux Device Drivers (LFD430)

Instructor-led

Developing Embedded Linux Device Drivers (LFD435)

Instructor-led

Embedded Linux Development (LFD450)

Instructor-led

Linux for System Engineers (LFS311)

Training

Service Mesh Fundamentals (LFS243)

Training

Advanced Data Modeling

Course

Become a Sensor Fusion Engineer

Nanodegree

Flying Car and Autonomous Flight Engineer

Nanodegree

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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