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Technical Support Engineer Remote Jobs in Irving, TX

Vytwo

Senior Data Engineer - Remote

Prosper, TX · Remote

$55 - $60/hr

Lead technical design sessions and code reviews, promoting engineering best practices, reusability ... Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control ...

ICF

Substation Physical Engineer - REMOTE

Dallas, TX · Remote

$97K - $124K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... Support client meetings, technical discussions, and project planning efforts * Participate in site ...

Olsson

Geotechnical Engineer - Remote

Dallas, TX · On-site +1

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... You will also process design calculations, generate technical report documents, develop project ...

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All JobsTechnical Support Engineer JobsTechnical Support Engineer Remote JobsTechnical Support Engineer Remote Jobs in Irving, TX

Technical Support Engineer Remote information

See Irving, TX salary details

$36K

$75.9K

$114.8K

How much do technical support engineer remote jobs pay per year?

As of Aug 14, 2026, the average yearly pay for technical support engineer remote in Irving, TX is $75,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $94,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a technical support engineer remote, and why are they important?

To thrive as a Technical Support Engineer Remote, you need strong problem-solving abilities, technical troubleshooting expertise, and a background in IT or computer science, often supported by relevant certifications like CompTIA A+ or Microsoft Certified Solutions Expert (MCSE). Familiarity with ticketing systems, remote desktop tools, and diagnostic software is essential for effective support. Exceptional communication skills, patience, and the ability to work independently are crucial soft skills in a remote environment. These qualities enable efficient resolution of technical issues, ensure customer satisfaction, and maintain seamless remote operations.

What is the difference between Technical Support Engineer Remote vs Technical Support Specialist?

AspectTechnical Support Engineer RemoteTechnical Support Specialist
Required CredentialsTypically requires a degree in IT, Computer Science, or related field; certifications like CompTIA A+ or Network+ are commonOften requires similar certifications; may have less emphasis on formal degrees
Work EnvironmentRemote, often supporting enterprise clients or internal teams via online toolsCan be remote or on-site; supports customers via phone, email, or chat
Employer & Industry UsageUsed across tech companies, SaaS providers, and IT service firmsCommon in tech, retail, and telecommunications industries

Both roles involve troubleshooting technical issues, but Technical Support Engineer Remote typically requires more technical expertise and handles complex problems remotely, while Technical Support Specialist may focus on basic support and customer service. The roles often overlap, but the engineer position usually demands a higher technical skill level and certifications.

What does a technical support engineer do in a remote role?

A Technical Support Engineer working remotely provides assistance to customers or internal teams in resolving technical issues related to software, hardware, or network systems. They diagnose problems, offer troubleshooting guidance, and may escalate complex issues to higher-level engineers. Communication is typically done through email, chat, or video calls, ensuring users can continue their work with minimal disruption. Remote Technical Support Engineers must be skilled in problem-solving, customer service, and using various support tools. Their goal is to help users resolve issues efficiently, regardless of their physical location.

What are some typical challenges faced by technical support engineers working remotely, and how can they be managed?

Remote Technical Support Engineers often face challenges such as troubleshooting complex technical issues without in-person access to customer systems and maintaining clear communication across different time zones. To manage these, effective use of remote access tools, thorough documentation, and proactive communication with both customers and team members are crucial. Additionally, setting up a dedicated workspace and establishing structured routines can help maintain productivity and work-life balance. Regular virtual meetings and collaboration platforms also support knowledge sharing and team cohesion.
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Technical Support Engineer Remote jobs near you
Infographic showing various Technical Support Engineer Remote job openings in Irving, TX as of August 2026, with employment types broken down into 98% Full Time, and 2% Temporary. Highlights an 100% Remote job distribution, with an average salary of $75,890 per year, or $36.5 per hour.

Senior Data Engineer - Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted 11 days ago

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.