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Remote L3 Support Engineer Jobs in Prosper, TX (NOW HIRING)

YO AI Labs

AI/ML Software Engineer - Remote

Dallas, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

CUDA Engineering Expert - Remote

Dallas, TX · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

YO AI Labs

CUDA Developer - Remote

Dallas, TX · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

Interlink Technology, Inc.

Be Seen First

Level 1 Help Desk Engineer - Remote

Dallas, TX · Remote

$20 - $23/hr

We are looking for a Level 1 Help Desk Engineer located in Texas to provide remote technical ... Support printers, scanners, monitors, docks, and other peripherals remotely * Troubleshoot VPN ...

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All JobsL3 Support Engineer JobsRemote L3 Support Engineer JobsRemote L3 Support Engineer Jobs in Prosper, TX

Remote L3 Support Engineer information

See Prosper, TX salary details

$15

$36

$62

How much do remote l3 support engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote l3 support engineer in Prosper, TX is $36.51, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $42.69 per hour, depending on experience, location, and employer.

What is a remote L3 support engineer?

Remote L3 Support Engineers, also known as Level 3 support engineers, are specialized IT professionals who handle the most complex technical issues that cannot be resolved by lower-tier support teams (L1 and L2). Working remotely, they diagnose and solve advanced software, hardware, or network problems, often collaborating with developers or product teams. Their expertise is crucial for resolving critical incidents, providing root cause analysis, and implementing long-term solutions. They may also create documentation and offer guidance to other support levels to prevent recurring issues.

What are the key skills and qualifications needed to thrive as a remote L3 support engineer?

To thrive as a Remote L3 Support Engineer, you need advanced troubleshooting skills, in-depth knowledge of operating systems and networks, and typically a degree in computer science or related field. Expertise with ticketing systems, remote desktop tools, scripting languages, and certifications such as CompTIA Network+ or Microsoft Certified Solutions Expert (MCSE) are highly valuable. Strong analytical thinking, communication, and customer service skills help in resolving complex issues and collaborating with both clients and internal teams. These abilities ensure timely resolution of critical problems, maintain system reliability, and enhance client satisfaction in a remote support environment.

What are the main challenges faced by remote L3 support engineers, and how can candidates prepare for them?

Remote L3 Support Engineers often face complex technical issues that require in-depth troubleshooting and collaboration across multiple teams. One common challenge is diagnosing problems without physical access to hardware, which demands strong analytical skills and effective use of remote diagnostic tools. Additionally, balancing multiple high-priority incidents while maintaining clear communication with clients and internal stakeholders is essential. Candidates can prepare by gaining hands-on experience with remote support technologies, practicing clear documentation, and developing strong problem-solving abilities.

What is the difference between Remote L3 Support Engineer vs Remote Network Support Engineer?

AspectRemote L3 Support EngineerRemote Network Support Engineer
Required CredentialsTypically certifications like CompTIA Network+, Cisco CCNA, or equivalentSimilar certifications such as Cisco CCNA, CompTIA Network+
Work EnvironmentProvides advanced technical support, troubleshooting complex issues, often in IT or tech companiesFocuses on network infrastructure, troubleshooting network problems remotely
Employer & Industry UsageUsed in IT service providers, tech companies, and enterprise support teamsCommon in telecom, internet service providers, and large corporate networks

The Remote L3 Support Engineer and Remote Network Support Engineer roles share similar certifications and work environments, often overlapping in technical skills. However, L3 engineers handle broader, more complex issues across various systems, while Network Support Engineers specialize specifically in network infrastructure and connectivity problems.

What job categories do people searching Remote L3 Support Engineer jobs in Prosper, TX look for?

The top searched job categories for Remote L3 Support Engineer jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Remote L3 Support Engineer jobs?

Cities near Prosper, TX with the most Remote L3 Support Engineer job openings:

Remote L3 Support Engineer jobs near you
Infographic showing various Remote L3 Support Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,946 per year, or $36.5 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted yesterday

Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.