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Remote Rf Optimization Engineer Jobs in Dallas, TX

Purple Drive

Senior Data Engineer -Azure

Dallas, TX · Remote

$105K - $143K/yr

Role- Senior Data Engineer -Azure Location- Remote Experience: 8-12 Years Role Summary Seeking a ... The role requires solving complex business problems, optimizing data systems, and collaborating ...

Gainwell Technologies LLC

AI Engineer, Principal

Dallas, TX · Remote

$147K - $210K/yr

This role involves building and optimizing AI technologies, integrating them into existing systems ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Gainwell Technologies LLC

AI Engineer, Principal

Dallas, TX · Remote

$147K - $210K/yr

This role involves building and optimizing AI technologies, integrating them into existing systems ... Fully Remote Opportunity - Work from anywhere in the U.S. * Minimal Travel Required - Occasional ...

Vytwo

IAM Sr Engineer

Prosper, TX · Remote

$60/hr

IAM Sr Engineer 100% Remote The IAM Senior Engineer is a seasoned professional (58 years) responsible for supporting, managing, and optimizing Identity and Access Management (IAM) operations. This ...

Lorven Technologies

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Role: Data Engineer Location: Dallas, TX Duration: 12+ Months Contract * Bachelor's degree in ... and optimization * Experience with cloud platforms such as AWS (preferred), Azure, or GCP

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All JobsRemote Rf Optimization Engineer JobsRemote Rf Optimization Engineer Jobs in Dallas, TX

Remote Rf Optimization Engineer information

See Dallas, TX salary details

$36.6K

$116.4K

$181K

How much do remote rf optimization engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote rf optimization engineer in Dallas, TX is $116,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What are the key skills and qualifications needed to thrive as a Remote RF Optimization Engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.
What are the most commonly searched types of Rf Optimization Engineer jobs in Dallas, TX? The most popular types of Rf Optimization Engineer jobs in Dallas, TX are:
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What cities near Dallas, TX are hiring for Remote Rf Optimization Engineer jobs? Cities near Dallas, TX with the most Remote Rf Optimization Engineer job openings:
Remote Rf Optimization Engineer jobs near you
Infographic showing various Remote Rf Optimization Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 44% Full Time, and 56% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $116,413 per year, or $56 per hour.

Senior Data Engineer -Azure

Purple Drive

Dallas, TX • Remote

$105K - $143K/yr

Other

Posted 18 days ago

Job description

Overview:
Role- Senior Data Engineer -Azure
Location- Remote
Experience: 8-12 Years
Role Summary
Seeking a Senior Data Engineer with strong API and Azure experience to design scalable data platforms, develop pipelines, and support cloud migration initiatives. The role requires solving complex business problems, optimizing data systems, and collaborating across teams to deliver high-quality solutions.
Key Responsibilities
  • Develop and support APIs and Azure Functions (Python).
  • Build scalable data pipelines and migrate legacy platforms to Azure.
  • Write and optimize complex SQL queries.
  • Perform full lifecycle development and testing.
  • Troubleshoot multi-threaded and distributed systems.
  • Collaborate with technical and business teams to deliver data-driven solutions.
Required Skills
  • 3+ years Python and/or Azure SQL experience.
  • 3+ years data engineering with large datasets.
  • Strong SQL optimization skills.
  • Experience with Azure tools such as Databricks, Data Factory, Event Hub, Synapse, Delta Lake, Cosmos DB.
  • Knowledge of Git, Jenkins, or similar CI/CD tools.
  • Strong analytical, communication, and problem-solving skills.
Preferred
  • Big Data and NoSQL experience.
  • Public cloud exposure (Azure/AWS).
  • Agile methodology experience.
  • Experience leading large projects.

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